Publications – Dra. Ocotlán Díaz-Parra

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2025
1.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals Book IGI Global, 2025, ISBN: 9798369381618. Abstract \| Links \| BibTeX \| Tags: Research Books @book{book11420242, title = {Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.4018/979-8-3693-8161-8}, isbn = {9798369381618}, year = {2025}, date = {2025-03-08}, urldate = {2025-03-29}, publisher = { IGI Global}, abstract = {Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.}, keywords = {Research Books}, pubstate = {published}, tppubtype = {book} } Close Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more. Close doi:https://doi.org/10.4018/979-8-3693-8161-8 Close
2.	Reyes-Hernández, Y.; Ruiz-Vanoye, Jorge A.; Rodríguez-Flores, Jazmin; Díaz-Parra, Ocotlán; Aguilar-Ortiz, Jaime; Trejo-Macotela, Francisco R.; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C. Predictive Analytics and Machine Learning in Public Health Book Chapter In: Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán (Ed.): Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals, Chapter 9, pp. 165-180, IGI Global, 2025, ISBN: 9798369381618. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{bc103251, title = {Predictive Analytics and Machine Learning in Public Health}, author = {Y. Reyes-Hernández and Jorge A. Ruiz-Vanoye and Jazmin Rodríguez-Flores and Ocotlán Díaz-Parra and Jaime Aguilar-Ortiz and Francisco R. Trejo-Macotela and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.4018/979-8-3693-8161-8.ch009}, isbn = {9798369381618}, year = {2025}, date = {2025-03-08}, booktitle = {Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals}, pages = {165-180}, publisher = {IGI Global}, chapter = {9}, abstract = {The impact of machine learning over the years has helped us make many daily tasks easier, which is why it has gained significant global relevance. One of the main issues addressed by technology and machine learning is public health, as various types of outbreaks can cause different kinds of epidemics. With the necessary technology, it becomes easier to identify and take the necessary measures to combat these outbreaks before they get out of control. The spread of diseases, especially when dealing with an unknown disease, can escalate considerably if appropriate measures are not taken promptly. This is why the impact that technological advances can have in this area is crucial for minimizing the impact of diseases on society. Machine learning can significantly aid in predicting different types of outbreaks, helping public health officials prevent large-scale spread and take preventive measures. Information used for comparisons and predictions can be processed more quickly, enhancing the ability to respond effectively to public health threats.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The impact of machine learning over the years has helped us make many daily tasks easier, which is why it has gained significant global relevance. One of the main issues addressed by technology and machine learning is public health, as various types of outbreaks can cause different kinds of epidemics. With the necessary technology, it becomes easier to identify and take the necessary measures to combat these outbreaks before they get out of control. The spread of diseases, especially when dealing with an unknown disease, can escalate considerably if appropriate measures are not taken promptly. This is why the impact that technological advances can have in this area is crucial for minimizing the impact of diseases on society. Machine learning can significantly aid in predicting different types of outbreaks, helping public health officials prevent large-scale spread and take preventive measures. Information used for comparisons and predictions can be processed more quickly, enhancing the ability to respond effectively to public health threats. Close doi:https://doi.org/10.4018/979-8-3693-8161-8.ch009 Close
3.	Tafoya-Rivera, Evelyn V.; Díaz-Parra, Ocotlán; Ávila-Díaz, M. F.; Márquez-Vera, Marco Antonio; Ramos-Fernández, Julio C.; Morales, J. G. Benítez; Gayosso-Melo, M. A. Public Safety and Emergency Response Book Chapter In: Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán (Ed.): Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals, Chapter 21, pp. 417-434, IGI Global, 2025, ISBN: 9798369381618. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{bc103252, title = {Public Safety and Emergency Response}, author = {Evelyn V. Tafoya-Rivera and Ocotlán Díaz-Parra and M. F. Ávila-Díaz and Marco Antonio Márquez-Vera and Julio C . Ramos-Fernández and J. G. Benítez Morales and M. A. Gayosso-Melo}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.4018/979-8-3693-8161-8.ch021}, isbn = {9798369381618}, year = {2025}, date = {2025-03-08}, booktitle = {Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals}, pages = {417-434}, publisher = {IGI Global}, chapter = {21}, abstract = {This chapter presents different research on the application of Artificial Intelligence (AI) in security surveillance and emergency response. Artificial Intelligence is considered a technological advancement, which has been used for social good, in the security approach is a sustainable development goal proposed by the United Nations (UN). In this research so far it has been found that from 2015 to date artificial intelligence has been applied in advancing security and surveillance through automatic facial recognition, intrusion detection, real-time data analysis for threat detection, intelligent video surveillance projects have also been developed, AI has been integrated in emergency response, in incident forecasting and prevention systems, it has been applied in incident detection as well as in the allocation and dispatch of resources, and among other projects are the allocation of resources, relocation, emergency response and medical care in disaster and natural catastrophe situations. }, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close This chapter presents different research on the application of Artificial Intelligence (AI) in security surveillance and emergency response. Artificial Intelligence is considered a technological advancement, which has been used for social good, in the security approach is a sustainable development goal proposed by the United Nations (UN). In this research so far it has been found that from 2015 to date artificial intelligence has been applied in advancing security and surveillance through automatic facial recognition, intrusion detection, real-time data analysis for threat detection, intelligent video surveillance projects have also been developed, AI has been integrated in emergency response, in incident forecasting and prevention systems, it has been applied in incident detection as well as in the allocation and dispatch of resources, and among other projects are the allocation of resources, relocation, emergency response and medical care in disaster and natural catastrophe situations. Close doi:https://doi.org/10.4018/979-8-3693-8161-8.ch021 Close
4.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán Smart Water Technology for Sustainable Management in Modern Cities Book IGI Global, 2025, ISBN: 9798369380741. Abstract \| Links \| BibTeX \| Tags: Research Books @book{book11420243, title = {Smart Water Technology for Sustainable Management in Modern Cities}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.4018/979-8-3693-8074-1}, isbn = {9798369380741}, year = {2025}, date = {2025-02-18}, urldate = {2025-02-18}, publisher = {IGI Global}, abstract = {With growing populations and the pressures of climate change, cities face significant challenges in maintaining sustainable water systems. Smart water technologies, including sensors, data analytics, and automated systems, enable real-time monitoring and efficient management of water resources, reducing waste and improving infrastructure. These innovations help improve water quality and availability while supporting efforts to minimize environmental impact and improve urban sustainability. As cities expand, the adoption of smart water technology is crucial for a reliable, sustainable, and equitable water supply. Smart Water Technology for Sustainable Management in Modern Cities examines the convergence of artificial intelligence (AI) and smart water technologies in the context of smart cities. It explores how AI is transforming water management to address challenges such as efficiency, sustainability, climate change resilience and optimizing water use in urban environments. This book covers topics such as wastewater treatment, precision agriculture, and smart cities, and is a useful resource for environmental scientists, urban developers, engineers, computer scientists, academicians, and researchers.}, keywords = {Research Books}, pubstate = {published}, tppubtype = {book} } Close With growing populations and the pressures of climate change, cities face significant challenges in maintaining sustainable water systems. Smart water technologies, including sensors, data analytics, and automated systems, enable real-time monitoring and efficient management of water resources, reducing waste and improving infrastructure. These innovations help improve water quality and availability while supporting efforts to minimize environmental impact and improve urban sustainability. As cities expand, the adoption of smart water technology is crucial for a reliable, sustainable, and equitable water supply. Smart Water Technology for Sustainable Management in Modern Cities examines the convergence of artificial intelligence (AI) and smart water technologies in the context of smart cities. It explores how AI is transforming water management to address challenges such as efficiency, sustainability, climate change resilience and optimizing water use in urban environments. This book covers topics such as wastewater treatment, precision agriculture, and smart cities, and is a useful resource for environmental scientists, urban developers, engineers, computer scientists, academicians, and researchers. Close doi:https://doi.org/10.4018/979-8-3693-8074-1 Close
5.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C.; Ramos-Fernández, Julio C.; Xicotencatl-Pérez, Juan M.; Ortiz-Suarez, Luis A. Foundations of Smart Water and Artificial Intelligence Technologies Book Chapter In: Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán (Ed.): Smart Water Technology for Sustainable Management in Modern Cities, Chapter 1, pp. 1-30, IGI Global, 2025, ISBN: 9798369380741. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{nokey, title = {Foundations of Smart Water and Artificial Intelligence Technologies}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez and Julio C . Ramos-Fernández and Juan M. Xicotencatl-Pérez and Luis A. Ortiz-Suarez}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra }, doi = {https://doi.org/10.4018/979-8-3693-8074-1.ch001}, isbn = {9798369380741}, year = {2025}, date = {2025-02-18}, booktitle = {Smart Water Technology for Sustainable Management in Modern Cities}, pages = {1-30}, publisher = {IGI Global}, chapter = {1}, abstract = {The increasing global demand for water, compounded by the challenges posed by climate change, urbanisation, and population growth, necessitates the adoption of innovative solutions for water management. Smart Water technologies, which encompass the integration of advanced sensors, data analysis, and automated systems, offer a promising approach to optimising water use and enhancing sustainability. While challenges remain, the benefits of adopting these technologies are substantial, warranting further investment and research. As global water challenges intensify, the role of Smart Water systems will become increasingly critical in ensuring the sustainable management of this vital resource. This chapter explores the components, benefits, and challenges of Smart Water systems, providing a comprehensive overview of their role in modern water management.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The increasing global demand for water, compounded by the challenges posed by climate change, urbanisation, and population growth, necessitates the adoption of innovative solutions for water management. Smart Water technologies, which encompass the integration of advanced sensors, data analysis, and automated systems, offer a promising approach to optimising water use and enhancing sustainability. While challenges remain, the benefits of adopting these technologies are substantial, warranting further investment and research. As global water challenges intensify, the role of Smart Water systems will become increasingly critical in ensuring the sustainable management of this vital resource. This chapter explores the components, benefits, and challenges of Smart Water systems, providing a comprehensive overview of their role in modern water management. Close doi:https://doi.org/10.4018/979-8-3693-8074-1.ch001 Close
6.	Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Simancas-Acevedo, Eric; Ramos-Fernández, Julio C.; Xicotencatl-Pérez, Juan M.; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C.; Reyes-Hernández, Y. Applying the Water Sensitive City Index in a House of Quality Framework to Enhance Urban Water Governance and Sustainability: Evaluating Smart Water Cities Book Chapter In: Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán (Ed.): Smart Water Technology for Sustainable Management in Modern Cities, Chapter 6, pp. 117-134, IGI Global, 2025, ISBN: 9798369380741. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{bc1822521, title = {Applying the Water Sensitive City Index in a House of Quality Framework to Enhance Urban Water Governance and Sustainability: Evaluating Smart Water Cities}, author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Eric Simancas-Acevedo and Julio C . Ramos-Fernández and Juan M. Xicotencatl-Pérez and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez and Y. Reyes-Hernández}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.4018/979-8-3693-8074-1.ch006}, isbn = {9798369380741}, year = {2025}, date = {2025-02-18}, urldate = {2025-02-18}, booktitle = {Smart Water Technology for Sustainable Management in Modern Cities}, pages = {117-134}, publisher = {IGI Global}, chapter = {6}, abstract = {This article presents a combination of tools to determine if a city could be considered Smart Water City. Smart Water cities are those that use advanced technologies and innovative solutions to improve water management and ensure the long-term sustainability of water supplies. This includes optimizing water use, reducing water losses, treating, and reusing wastewater, and conserving water resources. This paper proposes the use of the evaluation of the water sensitive city index applied in the house of quality, to identify the fulfillment of the seven goals that the water sensitive city index manages within the scheme of the house of quality and thus precisely observe the areas of opportunity for decision making.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close This article presents a combination of tools to determine if a city could be considered Smart Water City. Smart Water cities are those that use advanced technologies and innovative solutions to improve water management and ensure the long-term sustainability of water supplies. This includes optimizing water use, reducing water losses, treating, and reusing wastewater, and conserving water resources. This paper proposes the use of the evaluation of the water sensitive city index applied in the house of quality, to identify the fulfillment of the seven goals that the water sensitive city index manages within the scheme of the house of quality and thus precisely observe the areas of opportunity for decision making. Close doi:https://doi.org/10.4018/979-8-3693-8074-1.ch006 Close
7.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Ramos-Fernández, Julio C.; Xicoténcatl-Pérez, Juan; Aguilar-Ortiz, Jaime; Marroquín-Gutiérrez, Francisco; Ramírez, Julio C. Salgado Applications of artificial intelligence and data science in sustainable agriculture: A review of techniques and case studies Book Chapter In: N. L. Fitriyani M. Syafrudin, & M. Anshari (Eds. ) (Ed.): Artificial intelligence and data science for sustainability: Applications and methods, Chapter 6, pp. 159-186, IGI Global, 2025, ISBN: 9798369368299. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{bc25125, title = {Applications of artificial intelligence and data science in sustainable agriculture: A review of techniques and case studies}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Julio C . Ramos-Fernández and Juan Xicoténcatl-Pérez and Jaime Aguilar-Ortiz and Francisco Marroquín-Gutiérrez and Julio C. Salgado Ramírez}, editor = {M. Syafrudin, N. L. Fitriyani, & M. Anshari (Eds.)}, doi = {https://doi.org/10.4018/979-8-3693-6829-9.ch006}, isbn = {9798369368299}, year = {2025}, date = {2025-02-08}, urldate = {2025-02-08}, booktitle = {Artificial intelligence and data science for sustainability: Applications and methods}, pages = {159-186}, publisher = {IGI Global}, chapter = {6}, abstract = {This chapter examines how these disciplines are transforming agriculture through the implementation of advanced techniques that enable farmers to address complex challenges and improve their operations. Artificial Intelligence offers solutions that automate and optimise agricultural processes, from planting to harvesting, facilitating data-driven decision-making and improving accuracy in crop management. On the other hand, Data Science provides advanced analytical tools that allow the extraction of valuable insights from large volumes of agricultural data. By analysing data from various sources, such as in-field sensors and monitoring systems, farmers can gain a deeper understanding of their operations and make informed decisions that optimise resource use and mitigate climatic and operational risks. By reducing excessive use of water, fertilisers and pesticides, and minimising waste, these advanced technologies play a crucial role in protecting ecosystems and mitigating climate change.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close This chapter examines how these disciplines are transforming agriculture through the implementation of advanced techniques that enable farmers to address complex challenges and improve their operations. Artificial Intelligence offers solutions that automate and optimise agricultural processes, from planting to harvesting, facilitating data-driven decision-making and improving accuracy in crop management. On the other hand, Data Science provides advanced analytical tools that allow the extraction of valuable insights from large volumes of agricultural data. By analysing data from various sources, such as in-field sensors and monitoring systems, farmers can gain a deeper understanding of their operations and make informed decisions that optimise resource use and mitigate climatic and operational risks. By reducing excessive use of water, fertilisers and pesticides, and minimising waste, these advanced technologies play a crucial role in protecting ecosystems and mitigating climate change. Close doi:https://doi.org/10.4018/979-8-3693-6829-9.ch006 Close
8.	Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C.; Ramos-Fernández, Julio C.; Xicotencatl-Pérez, Juan M.; Trejo-Macotela, Francisco R. Intelligent Agents in Education as the New Frontier of Intelligent Computing Book Chapter In: Revolutionizing Pedagogy Through Smart Education, Chapter 7, pp. 123-138, IGI Global, 2025, ISBN: 9798369377932. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{chap6225, title = {Intelligent Agents in Education as the New Frontier of Intelligent Computing}, author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez and Julio C. Ramos-Fernández and Juan M. Xicotencatl-Pérez and Francisco R. Trejo-Macotela}, doi = {https://doi.org/10.4018/979-8-3693-7793-2.ch007}, isbn = {9798369377932}, year = {2025}, date = {2025-02-06}, urldate = {2025-02-06}, booktitle = {Revolutionizing Pedagogy Through Smart Education}, pages = {123-138}, publisher = {IGI Global}, chapter = {7}, abstract = {The integration of intelligent agents in education is transforming traditional teaching and learning models, driving the shift toward personalised learning in the 21st century. By utilising AI, machine learning, and data-driven technologies, these agents tailor educational experiences to individual student needs, boosting engagement and improving learning outcomes. However, their deployment raises challenges such as data privacy, equitable access to technology, and the need for transparency in algorithms. Thoughtful planning is essential to ensure these tools are used ethically and inclusively, benefiting both students and educators. Intelligent agents also hold promise for streamlining administrative tasks, enhancing feedback, and promoting collaboration. Yet, without careful evaluation, their potential may be underutilised. As education continues to evolve, intelligent agents offer a pathway toward more dynamic, accessible, and personalised learning environments.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The integration of intelligent agents in education is transforming traditional teaching and learning models, driving the shift toward personalised learning in the 21st century. By utilising AI, machine learning, and data-driven technologies, these agents tailor educational experiences to individual student needs, boosting engagement and improving learning outcomes. However, their deployment raises challenges such as data privacy, equitable access to technology, and the need for transparency in algorithms. Thoughtful planning is essential to ensure these tools are used ethically and inclusively, benefiting both students and educators. Intelligent agents also hold promise for streamlining administrative tasks, enhancing feedback, and promoting collaboration. Yet, without careful evaluation, their potential may be underutilised. As education continues to evolve, intelligent agents offer a pathway toward more dynamic, accessible, and personalised learning environments. Close doi:https://doi.org/10.4018/979-8-3693-7793-2.ch007 Close
9.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán Revolutionizing Pedagogy Through Smart Education Book IGI Global, 2025, ISBN: 9798369377932. Links \| BibTeX \| Tags: Research Books @book{book1142024, title = {Revolutionizing Pedagogy Through Smart Education}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {https://www.igi-global.com/book/revolutionizing-pedagogy-through-smart-education/349255}, isbn = {9798369377932}, year = {2025}, date = {2025-02-05}, urldate = {2025-02-28}, publisher = { IGI Global}, keywords = {Research Books}, pubstate = {published}, tppubtype = {book} } Close doi:https://www.igi-global.com/book/revolutionizing-pedagogy-through-smart-education/349255 Close
10.	Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C.; Ramos-Fernández, Julio C.; Xicotencatl-Pérez, Juan M.; Trejo-Macotela, Francisco R. Fundamentals of Smart Education Book Chapter In: Revolutionizing Pedagogy Through Smart Education, pp. 1-18, IGI Global, 2025, ISBN: 9798369377932. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{chap62252, title = {Fundamentals of Smart Education}, author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez and Julio C. Ramos-Fernández and Juan M. Xicotencatl-Pérez and Francisco R. Trejo-Macotela}, doi = {https://doi.org/10.4018/979-8-3693-7793-2.ch001}, isbn = {9798369377932}, year = {2025}, date = {2025-02-05}, urldate = {2025-02-05}, booktitle = {Revolutionizing Pedagogy Through Smart Education}, pages = {1-18}, publisher = {IGI Global}, abstract = {Smart Education represents a transformative approach to teaching and learning, leveraging advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data analytics, and adaptive learning systems. This chapter explores the foundational principles of Smart Education, highlighting its potential to personalise learning experiences, enhance student engagement, and optimise educational outcomes. By integrating these technologies, Smart Education provides a dynamic and responsive environment that adapts content and methodologies to individual student needs, fostering a lifelong learning mindset. Key topics discussed include the evolution of traditional educational models into smart systems, the role of IoT in creating interconnected learning ecosystems, and the significance of data-driven approaches in refining instructional strategies. The chapter also examines the challenges and opportunities associated with implementing Smart Education across various contexts, addressing issues such as accessibility, privacy concerns, and the digital divide.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close Smart Education represents a transformative approach to teaching and learning, leveraging advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data analytics, and adaptive learning systems. This chapter explores the foundational principles of Smart Education, highlighting its potential to personalise learning experiences, enhance student engagement, and optimise educational outcomes. By integrating these technologies, Smart Education provides a dynamic and responsive environment that adapts content and methodologies to individual student needs, fostering a lifelong learning mindset. Key topics discussed include the evolution of traditional educational models into smart systems, the role of IoT in creating interconnected learning ecosystems, and the significance of data-driven approaches in refining instructional strategies. The chapter also examines the challenges and opportunities associated with implementing Smart Education across various contexts, addressing issues such as accessibility, privacy concerns, and the digital divide. Close doi:https://doi.org/10.4018/979-8-3693-7793-2.ch001 Close
11.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Márquez-Vera, Marco Antonio; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Ruiz-Jaimes, Miguel A.; Toledo-Navarro, Yadira; Bernabe-Loranca, Beatriz; Simancas-Acevedo, Eric; Trejo-Macotela, Francisco R.; Vera-Jimenez, Marco A. A Comprehensive Review of Quality of Aquaculture Services in Integrated Multi-Trophic Systems Journal Article In: Fishes, vol. 10, no. 2, pp. 54, 2025. Abstract \| Links \| BibTeX \| Tags: Papers in the Science Citation Index Expanded @article{JCR6225, title = {A Comprehensive Review of Quality of Aquaculture Services in Integrated Multi-Trophic Systems}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Marco Antonio Márquez-Vera and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Miguel A. Ruiz-Jaimes and Yadira Toledo-Navarro and Beatriz Bernabe-Loranca and Eric Simancas-Acevedo and Francisco R. Trejo-Macotela and Marco A. Vera-Jimenez}, doi = {https://doi.org/10.3390/fishes10020054}, year = {2025}, date = {2025-02-05}, journal = {Fishes}, volume = {10}, number = {2}, pages = {54}, abstract = {The concept of Quality of Aquaculture Services (QoAS) is inspired by the Quality of Service (QoS) principle, originally developed in the field of networks and telecommunications, where it refers to the ability to guarantee the quality, availability, and priority of service in a communications system. Adapted to the aquaculture context, QoAS is fundamental to maximising the benefits of Integrated Multi-Trophic Aquaculture (IMTA). IMTA has emerged as a sustainable approach to meet the growing global demand for aquatic food products by combining species from different trophic levels in a single system, optimising resource use, improving environmental performance, and diversifying production. However, ensuring QoAS in these complex systems requires the implementation of advanced technologies to monitor, manage, and optimise every aspect of the aquaculture process. This article presents a comprehensive review of technologies applied at IMTA, focusing on IoT-based monitoring systems, resource management algorithms, water recirculation technologies, intelligent automation, biosecurity, and data management platforms. Our review finds that IoT and automation-based solutions significantly enhance real-time monitoring, increasing operational efficiency and environmental sustainability. Key challenges identified include integration complexity, high costs, and technical expertise requirements, but the ongoing development of modular, user-friendly solutions indicates a promising trajectory. This review highlights the transformative role of technological innovation in IMTA, providing a foundation for future research and advancements in QoAS management in aquaculture. }, keywords = {Papers in the Science Citation Index Expanded}, pubstate = {published}, tppubtype = {article} } Close The concept of Quality of Aquaculture Services (QoAS) is inspired by the Quality of Service (QoS) principle, originally developed in the field of networks and telecommunications, where it refers to the ability to guarantee the quality, availability, and priority of service in a communications system. Adapted to the aquaculture context, QoAS is fundamental to maximising the benefits of Integrated Multi-Trophic Aquaculture (IMTA). IMTA has emerged as a sustainable approach to meet the growing global demand for aquatic food products by combining species from different trophic levels in a single system, optimising resource use, improving environmental performance, and diversifying production. However, ensuring QoAS in these complex systems requires the implementation of advanced technologies to monitor, manage, and optimise every aspect of the aquaculture process. This article presents a comprehensive review of technologies applied at IMTA, focusing on IoT-based monitoring systems, resource management algorithms, water recirculation technologies, intelligent automation, biosecurity, and data management platforms. Our review finds that IoT and automation-based solutions significantly enhance real-time monitoring, increasing operational efficiency and environmental sustainability. Key challenges identified include integration complexity, high costs, and technical expertise requirements, but the ongoing development of modular, user-friendly solutions indicates a promising trajectory. This review highlights the transformative role of technological innovation in IMTA, providing a foundation for future research and advancements in QoAS management in aquaculture. Close doi:https://doi.org/10.3390/fishes10020054 Close
12.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Márquez-Vera, Marco Antonio; Barrera-Cámara, Ricardo A.; Fuentes-Penna, Alejandro; Simancas-Acevedo, Eric; Ruiz-Jaimes, Miguel A.; Xicoténcatl-Pérez, Juan; Ramos-Fernández, Julio C. Symmetry in Genetic Distance Metrics: Quantifying Variability in Neurological Disorders for Personalized Treatment of Alzheimer’s and Dementia Journal Article In: Symmetry, 2025, ISBN: 2073-8994. Abstract \| Links \| BibTeX \| Tags: Papers in the Science Citation Index Expanded @article{JA25125, title = {Symmetry in Genetic Distance Metrics: Quantifying Variability in Neurological Disorders for Personalized Treatment of Alzheimer’s and Dementia}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Marco Antonio Márquez-Vera and Ricardo A. Barrera-Cámara and Alejandro Fuentes-Penna and Eric Simancas-Acevedo and Miguel A. Ruiz-Jaimes and Juan Xicoténcatl-Pérez and Julio C . Ramos-Fernández}, doi = {https://doi.org/10.3390/sym17020172}, isbn = {2073-8994}, year = {2025}, date = {2025-01-20}, journal = {Symmetry}, abstract = {his paper aims to adapt and apply genetic distance metrics in biomedical signal processing to improve the classification and monitoring of neurological disorders, specifically Alzheimer’s disease and frontotemporal dementia. The primary objectives are: (1) to quantify the variability in EEG signal patterns among the distinct subtypes of neurodegenerative disorders and healthy individuals, and (2) to explore the potential of a novel genetic similarity metric in establishing correlations between brain signal dynamics and clinical progression. Using a dataset of resting-state EEG recordings (eyes closed) from 88 subjects (36 with Alzheimer’s disease, 23 with frontotemporal dementia, and 29 healthy individuals), a comparative analysis of brain activity patterns was conducted. Symmetry plays a critical role in the proposed genetic similarity metric, as it captures the balanced relationships between intra- and inter-group EEG signal patterns. Our findings demonstrate that this approach significantly improves disease subtype identification and highlights the potential of the genetic similarity metric to optimize the predictive models. Furthermore, this methodology supports the development of personalized therapeutic interventions tailored to individual patient profiles, making a novel contribution to the field of neurological signal analysis and advancing the application of EEG in personalized medicine.}, keywords = {Papers in the Science Citation Index Expanded}, pubstate = {published}, tppubtype = {article} } Close his paper aims to adapt and apply genetic distance metrics in biomedical signal processing to improve the classification and monitoring of neurological disorders, specifically Alzheimer’s disease and frontotemporal dementia. The primary objectives are: (1) to quantify the variability in EEG signal patterns among the distinct subtypes of neurodegenerative disorders and healthy individuals, and (2) to explore the potential of a novel genetic similarity metric in establishing correlations between brain signal dynamics and clinical progression. Using a dataset of resting-state EEG recordings (eyes closed) from 88 subjects (36 with Alzheimer’s disease, 23 with frontotemporal dementia, and 29 healthy individuals), a comparative analysis of brain activity patterns was conducted. Symmetry plays a critical role in the proposed genetic similarity metric, as it captures the balanced relationships between intra- and inter-group EEG signal patterns. Our findings demonstrate that this approach significantly improves disease subtype identification and highlights the potential of the genetic similarity metric to optimize the predictive models. Furthermore, this methodology supports the development of personalized therapeutic interventions tailored to individual patient profiles, making a novel contribution to the field of neurological signal analysis and advancing the application of EEG in personalized medicine. Close doi:https://doi.org/10.3390/sym17020172 Close
2024
13.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Ruiz-Jaimes, Miguel A.; Aguilar-Ortiz, Jaime; Simancas-Acevedo, Eric; Rodriguez-Flores, Jazmín; Martínez-Mireles, Josué Román; Xicoténcatl-Pérez, Juan M.; Vera-Jimenez, Marco A. The Role of Smart Cities in Creating Sustainable Urban Environments through Strategies and Innovative Solutions Book Chapter In: Chapter 2, IGI Global, 2024, ISBN: 9798369366950. Abstract \| Links \| BibTeX \| Tags: Research Books @inbook{bc11424, title = {The Role of Smart Cities in Creating Sustainable Urban Environments through Strategies and Innovative Solutions}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Miguel A. Ruiz-Jaimes and Jaime Aguilar-Ortiz and Eric Simancas-Acevedo and Jazmín Rodriguez-Flores and Josué Román Martínez-Mireles and Juan M. Xicoténcatl-Pérez and Marco A. Vera-Jimenez}, doi = {https://doi.org/10.4018/979-8-3693-6695-0.ch002}, isbn = {9798369366950}, year = {2024}, date = {2024-11-01}, urldate = {2024-11-01}, publisher = { IGI Global}, chapter = {2}, abstract = {A smart city is a city that uses the optimum management of water, city technology, energy, mobility, public transportation, distribution of transport routes, road network safety management, the construction of homes / offices / transportation structure, industry / jobs, education, healthcare, public safety, government, civil protection, food, environmental pollution, and solid, hazardous and special waste This chapter will analyse how smart cities can become catalysts for urban sustainability through the implementation of advanced technologies and the integration of innovative strategies. With a focus on carbon footprint reduction, energy efficiency and climate change resilience, it will explore various initiatives and policies that are transforming cities towards a greener and more equitable future.}, keywords = {Research Books}, pubstate = {published}, tppubtype = {inbook} } Close A smart city is a city that uses the optimum management of water, city technology, energy, mobility, public transportation, distribution of transport routes, road network safety management, the construction of homes / offices / transportation structure, industry / jobs, education, healthcare, public safety, government, civil protection, food, environmental pollution, and solid, hazardous and special waste This chapter will analyse how smart cities can become catalysts for urban sustainability through the implementation of advanced technologies and the integration of innovative strategies. With a focus on carbon footprint reduction, energy efficiency and climate change resilience, it will explore various initiatives and policies that are transforming cities towards a greener and more equitable future. Close doi:https://doi.org/10.4018/979-8-3693-6695-0.ch002 Close
14.	Tafoya-Rivera, Evelyn V.; Díaz-Parra, Ocotlán; Márquez-Vera, Marco A.; Ruiz-Vanoye, Jorge A.; Ramos-Fernández, Julio C.; Benítez-Morales, José G.; Hernández-Huerta, Eduardo Real-Time Coordination and Communication Process for the Issuance of Emergency Ambulance Alerts Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 4, pp. 101–117, 2024, ISBN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{journal11424, title = {Real-Time Coordination and Communication Process for the Issuance of Emergency Ambulance Alerts}, author = {Evelyn V. Tafoya-Rivera and Ocotlán Díaz-Parra and Marco A. Márquez-Vera and Jorge A. Ruiz-Vanoye and Julio C . Ramos-Fernández and José G. Benítez-Morales and Eduardo Hernández-Huerta}, doi = {https://doi.org/10.61467/2007.1558.2024.v15i4.535}, isbn = {2007-1558}, year = {2024}, date = {2024-11-01}, urldate = {2024-11-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {4}, pages = {101–117}, abstract = {The lack of attention to emergency alerts in road accidents in a timely manner may be due to the lack of management of resources or the lack of communication between hospital and patrol departments. The purpose of this research is to reduce the management time to provide attention to requests on highways. An alert and resource management process is proposed. This process will allow sending the optimized information in the shortest possible time. The experimentation was worked with a set of test instances and simulated in the laboratory using mechatronic devices to show the communication, coordination and attention in real time. The results obtained were acceptable, it was possible to identify the alert to be included in the algorithm which must comply with the restrictions and subsequently calculate the optimal route to be followed by the mechatronic device to reach the request node for the attention of the distress alert.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The lack of attention to emergency alerts in road accidents in a timely manner may be due to the lack of management of resources or the lack of communication between hospital and patrol departments. The purpose of this research is to reduce the management time to provide attention to requests on highways. An alert and resource management process is proposed. This process will allow sending the optimized information in the shortest possible time. The experimentation was worked with a set of test instances and simulated in the laboratory using mechatronic devices to show the communication, coordination and attention in real time. The results obtained were acceptable, it was possible to identify the alert to be included in the algorithm which must comply with the restrictions and subsequently calculate the optimal route to be followed by the mechatronic device to reach the request node for the attention of the distress alert. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i4.535 Close
15.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Simancas-Acevedo, Eric; Barrera-Cámara, Ricardo A. Artificial Intelligences in Industrial Robots: A Framework Based on Gardner’s Multiple Intelligences Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 4, pp. 118–129, 2024, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: ESCI @article{journal114242, title = {Artificial Intelligences in Industrial Robots: A Framework Based on Gardner’s Multiple Intelligences}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Eric Simancas-Acevedo and Ricardo A. Barrera-Cámara}, doi = {https://doi.org/10.61467/2007.1558.2024.v15i4.536}, issn = {2007-1558}, year = {2024}, date = {2024-11-01}, urldate = {2024-11-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {4}, pages = {118–129}, abstract = {Industrial robots, both in manufacturing and non-manufacturing sectors, are evolving rapidly, driven by advancements in artificial intelligence (AI). This paper presents a comprehensive survey of industrial robots, framed through the lens of Howard Gardner’s theory of multiple intelligences. By categorising various AI capabilities in industrial robots—such as visual recognition, decision-making, and collaborative interaction—based on Gardner’s intelligence framework, we provide a novel taxonomy that bridges human cognitive abilities and artificial systems. The survey explores the historical development of industrial robots, the current state of AI implementation, and future trends in robotics. Additionally, we discuss the implications of these advancements for industries and their workforce, as well as the ethical considerations surrounding the growing autonomy of AI systems. This paper aims to serve as a reference point for researchers and professionals seeking to understand the intersection of cognitive science and industrial AI, highlighting the potential and challenges of integrating AI into robotic systems.}, keywords = {ESCI}, pubstate = {published}, tppubtype = {article} } Close Industrial robots, both in manufacturing and non-manufacturing sectors, are evolving rapidly, driven by advancements in artificial intelligence (AI). This paper presents a comprehensive survey of industrial robots, framed through the lens of Howard Gardner’s theory of multiple intelligences. By categorising various AI capabilities in industrial robots—such as visual recognition, decision-making, and collaborative interaction—based on Gardner’s intelligence framework, we provide a novel taxonomy that bridges human cognitive abilities and artificial systems. The survey explores the historical development of industrial robots, the current state of AI implementation, and future trends in robotics. Additionally, we discuss the implications of these advancements for industries and their workforce, as well as the ethical considerations surrounding the growing autonomy of AI systems. This paper aims to serve as a reference point for researchers and professionals seeking to understand the intersection of cognitive science and industrial AI, highlighting the potential and challenges of integrating AI into robotic systems. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i4.536 Close
16.	Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A. A brief review of the History of Computational Intelligence, Bio-Inspired Computing and Scientific Computing Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 3, pp. 164–170, 2024, ISSN: 1558-2024. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{paper130, title = {A brief review of the History of Computational Intelligence, Bio-Inspired Computing and Scientific Computing}, author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara}, doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.524}, issn = {1558-2024}, year = {2024}, date = {2024-10-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {3}, pages = {164–170}, abstract = {The use of computational tools to solve real problems of different industries has been in increased significantly. Software is used to solve problems of the air, sea, ground, pipes, and aerospace transportation planning; problems related to the science of sport, chemistry, medicine, nursing, mechatronics, robotics; business problems related to minimize costs and maximize profits, problems of management of small, medium and large companies; agro-industrial problems, environment, among many others. To solve real problems using scientific computation, Bio-inspired and computational intelligence. This paper aims to present a review of the history of Computational Intelligence Bio-Inspired Computing and scientific computing.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The use of computational tools to solve real problems of different industries has been in increased significantly. Software is used to solve problems of the air, sea, ground, pipes, and aerospace transportation planning; problems related to the science of sport, chemistry, medicine, nursing, mechatronics, robotics; business problems related to minimize costs and maximize profits, problems of management of small, medium and large companies; agro-industrial problems, environment, among many others. To solve real problems using scientific computation, Bio-inspired and computational intelligence. This paper aims to present a review of the history of Computational Intelligence Bio-Inspired Computing and scientific computing. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i3.524 Close
17.	Frausto-Solis, Juan; Rangel-González, Javier Alberto; Estrada-Patiño, Erick; González-Barbosa, Juan Javier; Alarcón-Ruiz, Erika; Castilla-Valdez, Guadalupe; Díaz-Parra, Ocotlán A comparative analysis of the Classical and Machine learning Forecasting Methods for the Mexican Stock Exchange Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 3, pp. 43–58, 2024, ISSN: 1558-2024. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{PAPER134, title = {A comparative analysis of the Classical and Machine learning Forecasting Methods for the Mexican Stock Exchange}, author = {Juan Frausto-Solis and Javier Alberto Rangel-González and Erick Estrada-Patiño and Juan Javier González-Barbosa and Erika Alarcón-Ruiz and Guadalupe Castilla-Valdez and Ocotlán Díaz-Parra }, doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.512}, issn = {1558-2024}, year = {2024}, date = {2024-10-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {3}, pages = {43–58}, abstract = {There is no recent comparison in the literature on the application of classical and machine learning methods for forecasting financial assets on the Mexican Stock Exchange (BMV). These methods divide the time series into three sections: training, validation, and testing. They predict future values using the training data and are evaluated in the validation phase using error metrics; once the lowest error is obtained, the best parameters and algorithms are used to predict values using the test section. This paper aims to find the most accurate regression algorithm to make predictions in the financial time series of the BMV. The regression methods compared include linear regression, neural networks, decision trees, and support vector regression. The study uses historical BMV asset price data to compare the accuracy of each of these algorithms.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close There is no recent comparison in the literature on the application of classical and machine learning methods for forecasting financial assets on the Mexican Stock Exchange (BMV). These methods divide the time series into three sections: training, validation, and testing. They predict future values using the training data and are evaluated in the validation phase using error metrics; once the lowest error is obtained, the best parameters and algorithms are used to predict values using the test section. This paper aims to find the most accurate regression algorithm to make predictions in the financial time series of the BMV. The regression methods compared include linear regression, neural networks, decision trees, and support vector regression. The study uses historical BMV asset price data to compare the accuracy of each of these algorithms. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i3.512 Close
18.	Campero-Jurado, Israel; Robles-Camarillo, Daniel; Ruiz-Vanoye, Jorge A.; Xicoténcatl-Pérez, Juan M.; Díaz-Parra, Ocotlán; Salgado-Ramírez, Julio-César; Marroquín-Gutiérrez, Francisco; Ramos-Fernández, Julio Cesar Fuzzy Logic Prediction of Hypertensive Disorders in Pregnancy Using the Takagi–Sugeno and C-Means Algorithms Journal Article In: Mathematics, vol. 12, iss. 15, 2024. Abstract \| Links \| BibTeX \| Tags: Papers in the Science Citation Index Expanded @article{jj123b, title = {Fuzzy Logic Prediction of Hypertensive Disorders in Pregnancy Using the Takagi–Sugeno and C-Means Algorithms}, author = {Israel Campero-Jurado and Daniel Robles-Camarillo and Jorge A. Ruiz-Vanoye and Juan M. Xicoténcatl-Pérez and Ocotlán Díaz-Parra and Julio-César Salgado-Ramírez and Francisco Marroquín-Gutiérrez and Julio Cesar Ramos-Fernández}, doi = {https://doi.org/10.3390/math12152417}, year = {2024}, date = {2024-08-03}, urldate = {2024-08-03}, journal = {Mathematics}, volume = {12}, issue = {15}, abstract = {Hypertensive disorders in pregnancy, which include preeclampsia, eclampsia, and chronic hypertension, complicate approximately 10% of all pregnancies in the world, constituting one of the most serious causes of mortality and morbidity in gestation. To help predict the occurrence of hypertensive disorders, a study based on algorithms that help model this health problem using mathematical tools is proposed. This study proposes a fuzzy c-means (FCM) model based on the Takagi–Sugeno (T-S) type of fuzzy rule to predict hypertensive disorders in pregnancy. To test different modeling methodologies, cross-validation comparisons were made between random forest, decision tree, support vector machine, and T-S and FCM methods, which achieved 80.00%, 66.25%, 70.00%, and 90.00%, respectively. The evaluation consisted of calculating the true positive rate (TPR) over the true negative rate (TNR), with equal error rate (EER) curves achieving a percentage of 20%. The learning dataset consisted of a total of 371 pregnant women, of which 13.2% were diagnosed with a condition related to gestational hypertension. The dataset for this study was obtained from the Secretaría de Salud del Estado de Hidalgo (SSEH), México. A random sub-sampling technique was used to adjust the class distribution of the data set, and to eliminate the problem of unbalanced classes. The models were trained using a total of 98 samples. The modeling results indicate that the T-S and FCM method has a higher predictive ability than the other three models in this research.}, keywords = {Papers in the Science Citation Index Expanded}, pubstate = {published}, tppubtype = {article} } Close Hypertensive disorders in pregnancy, which include preeclampsia, eclampsia, and chronic hypertension, complicate approximately 10% of all pregnancies in the world, constituting one of the most serious causes of mortality and morbidity in gestation. To help predict the occurrence of hypertensive disorders, a study based on algorithms that help model this health problem using mathematical tools is proposed. This study proposes a fuzzy c-means (FCM) model based on the Takagi–Sugeno (T-S) type of fuzzy rule to predict hypertensive disorders in pregnancy. To test different modeling methodologies, cross-validation comparisons were made between random forest, decision tree, support vector machine, and T-S and FCM methods, which achieved 80.00%, 66.25%, 70.00%, and 90.00%, respectively. The evaluation consisted of calculating the true positive rate (TPR) over the true negative rate (TNR), with equal error rate (EER) curves achieving a percentage of 20%. The learning dataset consisted of a total of 371 pregnant women, of which 13.2% were diagnosed with a condition related to gestational hypertension. The dataset for this study was obtained from the Secretaría de Salud del Estado de Hidalgo (SSEH), México. A random sub-sampling technique was used to adjust the class distribution of the data set, and to eliminate the problem of unbalanced classes. The models were trained using a total of 98 samples. The modeling results indicate that the T-S and FCM method has a higher predictive ability than the other three models in this research. Close doi:https://doi.org/10.3390/math12152417 Close
19.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán Global Football Excellence Index to Evaluate Footballers' Performance in the Ballon d'Or and International Awards Competitions Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, no. 3, pp. 1-3, 2024, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{jj123c, title = {Global Football Excellence Index to Evaluate Footballers' Performance in the Ballon d'Or and International Awards Competitions}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {10.61467/2007.1558.2024.v15i3.505}, issn = {2007-1558}, year = {2024}, date = {2024-08-03}, urldate = {2024-08-03}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, number = {3}, pages = {1-3}, abstract = {This paper presents the Global Football Excellence Index (GFEI), an innovative framework for assessing the performance of footballers in the competition for the Ballon d'Or and other international awards, based on quantitative performance indicators.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close This paper presents the Global Football Excellence Index (GFEI), an innovative framework for assessing the performance of footballers in the competition for the Ballon d'Or and other international awards, based on quantitative performance indicators. Close doi:10.61467/2007.1558.2024.v15i3.505 Close
20.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C.; Xicoténcatl-Pérez, Juan M.; Liceaga-Ortiz-De-La-Peña, José M.; Ortiz-Suarez, Luis A.; Rodríguez-Flores, Jazmin; Martínez-Mireles, Josue R. Quality of Service in Sustainable Development: A QoS-based Analysis of the United Nations Sustainable Development Goals Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, no. 1, pp. 39-50, 2024, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{jj123d, title = {Quality of Service in Sustainable Development: A QoS-based Analysis of the United Nations Sustainable Development Goals}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez and Juan M. Xicoténcatl-Pérez and José M. Liceaga-Ortiz-De-La-Peña and Luis A. Ortiz-Suarez and Jazmin Rodríguez-Flores and Josue R. Martínez-Mireles}, doi = {https://doi.org/10.61467/2007.1558.2024.v15i1.437}, issn = {2007-1558}, year = {2024}, date = {2024-05-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, number = {1}, pages = {39-50}, abstract = {This paper explores the innovative application of Quality of Service (QoS) principles, traditionally rooted in network and telecommunications, across various sectors to enhance the achievement of the United Nations Sustainable Development Goals (SDGs). By establishing a parallel between QoS in technological systems and sectors such as healthcare, education, energy, and urban development, we examine how these principles can be adapted to improve service delivery and efficiency in critical areas of sustainable development. The core premise is that methodologies used to optimize data flow and service reliability in networks can similarly enhance the quality, accessibility, and sustainability of essential services. This study conducts a comprehensive comparative analysis to illustrate the potential of QoS frameworks in promoting efficiency, effectiveness, and equity across multiple domains of the SDGs. Key areas of focus include enhancing healthcare outcomes, increasing educational accessibility, ensuring sustainable energy use, and improving urban infrastructure. The findings advocate for a cross-disciplinary approach to applying QoS principles, suggesting that such integration can lead to substantial improvements in service delivery and contribute significantly to global sustainable development efforts.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close This paper explores the innovative application of Quality of Service (QoS) principles, traditionally rooted in network and telecommunications, across various sectors to enhance the achievement of the United Nations Sustainable Development Goals (SDGs). By establishing a parallel between QoS in technological systems and sectors such as healthcare, education, energy, and urban development, we examine how these principles can be adapted to improve service delivery and efficiency in critical areas of sustainable development. The core premise is that methodologies used to optimize data flow and service reliability in networks can similarly enhance the quality, accessibility, and sustainability of essential services. This study conducts a comprehensive comparative analysis to illustrate the potential of QoS frameworks in promoting efficiency, effectiveness, and equity across multiple domains of the SDGs. Key areas of focus include enhancing healthcare outcomes, increasing educational accessibility, ensuring sustainable energy use, and improving urban infrastructure. The findings advocate for a cross-disciplinary approach to applying QoS principles, suggesting that such integration can lead to substantial improvements in service delivery and contribute significantly to global sustainable development efforts. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i1.437 Close
21.	Ruiz-Jaimes, Miguel Ángel; Gabriel-Romero, Maria Arely; Morales-López, Rodrigo Alejandro; Toledo-Navarro, Yadira; Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlan; Ortiz, Jaime Aguilar Innovating in the Detection of Depression in Young Adults: Development of a Mobile Application Based on the Enhanced Cascade Model Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, no. 1, pp. 86-100, 2024, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{jj123e, title = {Innovating in the Detection of Depression in Young Adults: Development of a Mobile Application Based on the Enhanced Cascade Model}, author = {Miguel Ángel Ruiz-Jaimes and Maria Arely Gabriel-Romero and Rodrigo Alejandro Morales-López and Yadira Toledo-Navarro and Jorge A. Ruiz-Vanoye and Ocotlan Díaz-Parra and Jaime Aguilar Ortiz}, doi = {https://doi.org/10.61467/2007.1558.2024.v15i1.394}, issn = {2007-1558}, year = {2024}, date = {2024-05-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, number = {1}, pages = {86-100}, abstract = {Depression is a disorder that usually begins in early adulthood, having a duration according to the World Health Organization (WHO) from a couple of months to a couple of years, however, in approximately 20% of cases there is a chronic evolution that results in a high mortality rate by suicide due to lack of adequate treatment. Therefore, the objective of this project is to facilitate the tools for an adequate care of depression, mainly in young adults through the development of a mobile application that monitors patients. To carry out the project, the enhanced cascade model was implemented, because the feedback between the different phases of the system development life cycle is important to make the appropriate modifications. The application of interviews and the use of brainstorming were the selected way in which all the system requirements were designed and the goals to be met by the system were adequately defined.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close Depression is a disorder that usually begins in early adulthood, having a duration according to the World Health Organization (WHO) from a couple of months to a couple of years, however, in approximately 20% of cases there is a chronic evolution that results in a high mortality rate by suicide due to lack of adequate treatment. Therefore, the objective of this project is to facilitate the tools for an adequate care of depression, mainly in young adults through the development of a mobile application that monitors patients. To carry out the project, the enhanced cascade model was implemented, because the feedback between the different phases of the system development life cycle is important to make the appropriate modifications. The application of interviews and the use of brainstorming were the selected way in which all the system requirements were designed and the goals to be met by the system were adequately defined. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i1.394 Close
2023
22.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Marroquín-Gutiérrez, Francisco; Rodríguez-Lara, Blas M.; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Ramos-Fernández, Julio C.; Xicoténcatl-Pérez, Juan M.; Aguilar-Ortiz, Jaime Ch. 3: Smart Government and Future Trends Book Chapter In: Ruiz-Vanoye, Jorge A. (Ed.): Management, Technology, and Economic Growth in Smart and Sustainable Cities, no. 3, IGI Global, 2023, ISBN: 9798369303733. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{cha1-23, title = {Ch. 3: Smart Government and Future Trends}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Marroquín-Gutiérrez and Blas M. Rodríguez-Lara and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Julio C. Ramos-Fernández and Juan M. Xicoténcatl-Pérez and Jaime Aguilar-Ortiz}, editor = {Jorge A. Ruiz-Vanoye}, doi = {http://dx.doi.org/10.4018/979-8-3693-0373-3.ch003}, isbn = {9798369303733}, year = {2023}, date = {2023-12-10}, urldate = {2023-12-10}, booktitle = {Management, Technology, and Economic Growth in Smart and Sustainable Cities}, number = {3}, publisher = {IGI Global}, abstract = {Several technologies are available to help citizens, and government officials perform their daily activities in a city. The current state-of-the-art technologies to help citizens and government officials exist Wireless Sensor Networks, RFDI Technology, combinatorial Optimisation, Machine Learning, Big Data, data visualisation, Internet of Government Things, Big-Data Analytics, and others to enhance the quality of the government. The authors have collected the relevant literature published during 2001-2021 by searching and browsing all the major digital libraries and publishers websites. The findings show the importance of the smart government's technology-assisted (electronic government, management of the economy, open data, civil works, tourism, management of the disasters, healthcare systems, and others). This paper aims to determine how smart government components improve the activities in a city of the citizens and government officials. This paper also presents a survey of the characteristics, taxonomy, smart government indicators, history, and future trends.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close Several technologies are available to help citizens, and government officials perform their daily activities in a city. The current state-of-the-art technologies to help citizens and government officials exist Wireless Sensor Networks, RFDI Technology, combinatorial Optimisation, Machine Learning, Big Data, data visualisation, Internet of Government Things, Big-Data Analytics, and others to enhance the quality of the government. The authors have collected the relevant literature published during 2001-2021 by searching and browsing all the major digital libraries and publishers websites. The findings show the importance of the smart government's technology-assisted (electronic government, management of the economy, open data, civil works, tourism, management of the disasters, healthcare systems, and others). This paper aims to determine how smart government components improve the activities in a city of the citizens and government officials. This paper also presents a survey of the characteristics, taxonomy, smart government indicators, history, and future trends. Close doi:http://dx.doi.org/10.4018/979-8-3693-0373-3.ch003 Close
23.	Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Marroquín-Gutiérrez, Francisco; Rodríguez-Lara, Blas Manuel; Ramírez, Julio C. Salgado; Trejo-Macotela, Francisco R.; Aguilar-Ortiz, Jaime Ch. 5: Smart Tourism: Technologies to Improve Tourism Book Chapter In: Ruiz-Vanoye, Jorge A. (Ed.): Management, Technology, and Economic Growth in Smart and Sustainable Cities, IGI Global, 2023, ISBN: 9798369303733. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{cha2-23, title = {Ch. 5: Smart Tourism: Technologies to Improve Tourism}, author = {Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Francisco Marroquín-Gutiérrez and Blas Manuel Rodríguez-Lara and Julio C. Salgado Ramírez and Francisco R. Trejo-Macotela and Jaime Aguilar-Ortiz}, editor = {Jorge A. Ruiz-Vanoye}, doi = {10.4018/979-8-3693-0373-3.ch005}, isbn = {9798369303733}, year = {2023}, date = {2023-12-10}, urldate = {2023-12-10}, booktitle = {Management, Technology, and Economic Growth in Smart and Sustainable Cities}, publisher = {IGI Global}, abstract = {The tourist cities that apply technology help to strengthen and to facilitate the communication of the tourists with the sporting, cultural, and scientific aspects of a city. This chapter aims to be a guide for understanding Smart Tourism components by presenting a survey of the characteristics, history and future trends. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. Smart tourism additionally must consider natural attractions, cultural (music festival), accessibility of transportation, amenity characteristics, ancillary services (banks, hospitals), innovative hubs for electric vehicles with a mobile app to check the availability status of charging cars, and the infrastructure of professional sports. The smart tourism is the optimal administration of the personnel or object related to the Tourism by using technology like the Internet of Tourism Things, data-mining, artificial intelligence, combinatorial optimization, Machine Learning, and others to enhance the quality of the Tourism.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The tourist cities that apply technology help to strengthen and to facilitate the communication of the tourists with the sporting, cultural, and scientific aspects of a city. This chapter aims to be a guide for understanding Smart Tourism components by presenting a survey of the characteristics, history and future trends. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. Smart tourism additionally must consider natural attractions, cultural (music festival), accessibility of transportation, amenity characteristics, ancillary services (banks, hospitals), innovative hubs for electric vehicles with a mobile app to check the availability status of charging cars, and the infrastructure of professional sports. The smart tourism is the optimal administration of the personnel or object related to the Tourism by using technology like the Internet of Tourism Things, data-mining, artificial intelligence, combinatorial optimization, Machine Learning, and others to enhance the quality of the Tourism. Close doi:10.4018/979-8-3693-0373-3.ch005 Close
24.	Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Marroquín-Gutiérrez, Francisco; Ramos-Fernández, Julio C.; Rodríguez-Lara, Blas Manuel; Barrera-Cámara, Ricardo A.; Ruiz-Jaimes, Miguel Angel; Tafoya, Evelyn Valeria V. Ch. 6: House of Quality for Safe Cities Book Chapter In: Ruiz-Vanoye, Jorge A. (Ed.): Management, Technology, and Economic Growth in Smart and Sustainable Citie, 2023. Links \| BibTeX \| Tags: chapters @inbook{cha3-23, title = {Ch. 6: House of Quality for Safe Cities}, author = {Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Francisco Marroquín-Gutiérrez and Julio C. Ramos-Fernández and Blas Manuel Rodríguez-Lara and Ricardo A. Barrera-Cámara and Miguel Angel Ruiz-Jaimes and Evelyn Valeria V. Tafoya}, editor = {Jorge A. Ruiz-Vanoye}, doi = {10.4018/979-8-3693-0373-3.ch006}, year = {2023}, date = {2023-12-10}, urldate = {2023-12-10}, booktitle = {Management, Technology, and Economic Growth in Smart and Sustainable Citie}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close doi:10.4018/979-8-3693-0373-3.ch006 Close
25.	Ruiz-Vanoye, Jorge A.; Diaz-Parra, Ocotlán; Marroquín-Gutiérrez, Francisco; Rodríguez-Lara, Blas Manuel; Aguilar-Ortiz, Jaime Ch. 1: Smart and Sustainable Cities Book Chapter In: Ruiz-Vanoye, Jorge A. (Ed.): Management, Technology, and Economic Growth in Smart and Sustainable Cities, IGI Global, 2023, ISBN: 9798369303733. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{cha4-23, title = {Ch. 1: Smart and Sustainable Cities }, author = {Jorge A. Ruiz-Vanoye and Ocotlán Diaz-Parra and Francisco Marroquín-Gutiérrez and Blas Manuel Rodríguez-Lara and Jaime Aguilar-Ortiz}, editor = {Jorge A. Ruiz-Vanoye}, doi = {DOI: 10.4018/979-8-3693-0373-3.ch001}, isbn = {9798369303733}, year = {2023}, date = {2023-12-10}, urldate = {2023-12-10}, booktitle = {Management, Technology, and Economic Growth in Smart and Sustainable Cities}, publisher = {IGI Global}, abstract = {Humans have always sought a place for safe living with the comforts and facilities to do decent work and for the family's healthy growth. This paper aims to guide understanding smart and sustainable cities by presenting a survey of chronological aspects, elements and components of smart cities, smart cities' indicators, solutions to city problems, and other aspects related to smart cities. We also propose a Smart and Sustainable Cities Puzzle that contains the main components of a smart city to which various pieces of the puzzle can be added depending on the characteristics and needs of the city, indicators of smart cities; the idea that trafficking in a city with technological elements allows citizens to better their quality of life, but that there must be optimum management (minimisation and maximisation) of all components involved in the city order to optimise time, money and effort. This article can serve as a basis for experts' academic knowledge and professional practice in sensors and decision-makers.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close Humans have always sought a place for safe living with the comforts and facilities to do decent work and for the family's healthy growth. This paper aims to guide understanding smart and sustainable cities by presenting a survey of chronological aspects, elements and components of smart cities, smart cities' indicators, solutions to city problems, and other aspects related to smart cities. We also propose a Smart and Sustainable Cities Puzzle that contains the main components of a smart city to which various pieces of the puzzle can be added depending on the characteristics and needs of the city, indicators of smart cities; the idea that trafficking in a city with technological elements allows citizens to better their quality of life, but that there must be optimum management (minimisation and maximisation) of all components involved in the city order to optimise time, money and effort. This article can serve as a basis for experts' academic knowledge and professional practice in sensors and decision-makers. Close doi:DOI: 10.4018/979-8-3693-0373-3.ch001 Close
26.	Xicotencatl-Pérez, Juan; Ramos-Fernandez, Julio C.; Marquez-Vera, Marco A.; Díaz-Parra, Ocotlán Ch. 9: Using the Smart Cities Infrastructure for Urban Farming and Z-Farming Book Chapter In: IGI Global, 2023, ISBN: 9798369303733. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{cha5-23, title = {Ch. 9: Using the Smart Cities Infrastructure for Urban Farming and Z-Farming}, author = {Juan Xicotencatl-Pérez and Julio C. Ramos-Fernandez and Marco A. Marquez-Vera and Ocotlán Díaz-Parra}, doi = {10.4018/979-8-3693-0373-3.ch009}, isbn = {9798369303733}, year = {2023}, date = {2023-09-23}, urldate = {2023-09-23}, publisher = {IGI Global}, abstract = {Urban agriculture has made it possible to move vegetable production from rural to densely populated areas, for which it uses different approaches to achieve its mission: food sufficiency. Approaches range from open-sky plantations to controlled environments. Open sky plantations such as community gardens or roof gardens, offer social rather than economic welfare, it is the controlled environments that offer profitable productions in abandoned spaces or built in a special way, in this chapter the advantages and disadvantages are mentioned as well as techniques that can improve the performance of this growing area of food development.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close Urban agriculture has made it possible to move vegetable production from rural to densely populated areas, for which it uses different approaches to achieve its mission: food sufficiency. Approaches range from open-sky plantations to controlled environments. Open sky plantations such as community gardens or roof gardens, offer social rather than economic welfare, it is the controlled environments that offer profitable productions in abandoned spaces or built in a special way, in this chapter the advantages and disadvantages are mentioned as well as techniques that can improve the performance of this growing area of food development. Close doi:10.4018/979-8-3693-0373-3.ch009 Close
27.	Frausto-Solis, Juan; González-Barbosa, Juan Javier; Cerecedo-Cordoba, Jorge Alberto; Sánchez-Hernández, Juan Paulo; Díaz-Parra, Ocotlán; Castilla-Valdez, Guadalupe Prediction of the Melting Point of Ionic Liquids with Clustering and Noeuroevolution Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 14, iss. 3, pp. 24-30, 2023, ISSN: 2007-1558. Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{jj123, title = {Prediction of the Melting Point of Ionic Liquids with Clustering and Noeuroevolution}, author = {Juan Frausto-Solis and Juan Javier González-Barbosa and Jorge Alberto Cerecedo-Cordoba and Juan Paulo Sánchez-Hernández and Ocotlán Díaz-Parra and Guadalupe Castilla-Valdez}, doi = {https://doi.org/10.61467/2007.1558.2023.v14i3.384}, issn = {2007-1558}, year = {2023}, date = {2023-09-23}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {14}, issue = {3}, pages = {24-30}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close doi:https://doi.org/10.61467/2007.1558.2023.v14i3.384 Close
28.	Díaz-Parra, Ocotlán; Xicotencatl-Pérez, Juan M.; Ramos-Fernández, Julio C.; Espejel-Flores, Porfirio; Toledo-Navarro, Yadira; Ruiz-Vanoye, Jorge A.; Simancas-Acevedo, Eric; Aguilar-Ortiz, Jaime Smart White Cane for Visually Impaired People for Hearing Recreation in Tourist Environment Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 14, no. 2, pp. 3-17, 2023, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{jar231, title = {Smart White Cane for Visually Impaired People for Hearing Recreation in Tourist Environment}, author = {Ocotlán Díaz-Parra and Juan M. Xicotencatl-Pérez and Julio C. Ramos-Fernández and Porfirio Espejel-Flores and Yadira Toledo-Navarro and Jorge A. Ruiz-Vanoye and Eric Simancas-Acevedo and Jaime Aguilar-Ortiz }, doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.348}, issn = {2007-1558}, year = {2023}, date = {2023-06-05}, urldate = {2023-06-05}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {14}, number = {2}, pages = {3-17}, abstract = {The tourist cities apply technologies to strengthen and facilitate the communication of the tourists with the sporting, cultural, scientific and other aspects of a city. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. The Smart white cane gives smart tourism to Blind people. The smart white cane is a white cane for blind people supplemented with Electronic Travel Aids, Electronic Orientation Aids, and Position Locator Devices. This paper proposes a smart white cane for visually impaired people for hearing recreation in tourist environments (smart tourist white cane or Smart White Cane for Smart Tourism).}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The tourist cities apply technologies to strengthen and facilitate the communication of the tourists with the sporting, cultural, scientific and other aspects of a city. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. The Smart white cane gives smart tourism to Blind people. The smart white cane is a white cane for blind people supplemented with Electronic Travel Aids, Electronic Orientation Aids, and Position Locator Devices. This paper proposes a smart white cane for visually impaired people for hearing recreation in tourist environments (smart tourist white cane or Smart White Cane for Smart Tourism). Close doi:https://doi.org/10.61467/2007.1558.2023.v14i2.348 Close
29.	Fuentes-Penna, Alejandro; Ruiz-Vanoye, Jorge A.; Trejo-Macotela, Francisco R.; Ramos-Fernández, Julio C.; Díaz-Parra, Ocotlán; de Dios González-Ibarra, Juan; Simancas-Acevedo, Eric; Espejel-Flores, Porfirio Soccer Training Scheduling Problem Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 14, no. 2, pp. 18–34, 2023, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{jar232, title = {Soccer Training Scheduling Problem}, author = {Alejandro Fuentes-Penna and Jorge A. Ruiz-Vanoye and Francisco R. Trejo-Macotela and Julio C. Ramos-Fernández and Ocotlán Díaz-Parra and Juan de Dios González-Ibarra and Eric Simancas-Acevedo and Porfirio Espejel-Flores }, doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.349}, issn = {2007-1558}, year = {2023}, date = {2023-06-05}, urldate = {2023-06-05}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {14}, number = {2}, pages = {18–34}, abstract = {This article aims to present a new problem of planning of resources and activities related to soccer, which is a variant of the Project Scheduling Problem. Soccer projects are intended to meet the requirements and expectations of time, cost and quality of the processes of the Soccer-related activities. In this article, original and unique in the world to date, is presented the mathematical modelling based on the Project Scheduling Problem of soccer in order to make optimal use of the resources of time, money and human resources of enterprises that you take care to engage in Soccer. The CPLEX model was used to find the optimal use of resources of the Soccer Project Scheduling Problem.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close This article aims to present a new problem of planning of resources and activities related to soccer, which is a variant of the Project Scheduling Problem. Soccer projects are intended to meet the requirements and expectations of time, cost and quality of the processes of the Soccer-related activities. In this article, original and unique in the world to date, is presented the mathematical modelling based on the Project Scheduling Problem of soccer in order to make optimal use of the resources of time, money and human resources of enterprises that you take care to engage in Soccer. The CPLEX model was used to find the optimal use of resources of the Soccer Project Scheduling Problem. Close doi:https://doi.org/10.61467/2007.1558.2023.v14i2.349 Close
30.	Fuentes-Penna, Alejandro; Díaz-Parra, Ocotlán; de D. González-Ibarra, Juan; Espejel-Flores, Porfirio; Simancas-Acevedo, Eric; Aguilar-Ortiz, Jaime; Ruiz-Vanoye, Jorge A. Complexity on Fuzzy set and Fuzzy Logic for Air Quality Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 14, no. 2, pp. 43–48, 2023, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{jar233, title = {Complexity on Fuzzy set and Fuzzy Logic for Air Quality}, author = {Alejandro Fuentes-Penna and Ocotlán Díaz-Parra and Juan de D. González-Ibarra and Porfirio Espejel-Flores and Eric Simancas-Acevedo and Jaime Aguilar-Ortiz and Jorge A. Ruiz-Vanoye }, doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.367}, issn = {2007-1558}, year = {2023}, date = {2023-06-05}, urldate = {2023-06-05}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {14}, number = {2}, pages = {43–48}, abstract = {The Air quality measurement is reported as micrograms per cubic meter or parts per million. In this article, we proposed a survey of the complexity on Fuzzy Logic for air quality. The traditional air quality assessment is estimated using air quality indices as mean values of selected air pollutants, where the ambient environment has given limits without considering specific local conditions and synergic relations between air pollutants and other meteorological factors. Different models analyze the structure of data to find the characteristics of air quality similarities and to interpret the classification results by means of fuzzy logic. }, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The Air quality measurement is reported as micrograms per cubic meter or parts per million. In this article, we proposed a survey of the complexity on Fuzzy Logic for air quality. The traditional air quality assessment is estimated using air quality indices as mean values of selected air pollutants, where the ambient environment has given limits without considering specific local conditions and synergic relations between air pollutants and other meteorological factors. Different models analyze the structure of data to find the characteristics of air quality similarities and to interpret the classification results by means of fuzzy logic. Close doi:https://doi.org/10.61467/2007.1558.2023.v14i2.367 Close
2022
31.	Díaz-Parra, Ocotlán; Benítez-Morales, José G.; Ramos-Fernández, Julio C.; Hernández-Huerta, Eduardo; Trejo-Macotela, Francisco R.; Pérez, Juan M. Xicoténcatl; Ruiz-Jaimes, Miguel A. Bio-Inspired Algorithm for Coordinated Control in Mobile Devices Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 13, no. 3, pp. 87-97, 2022, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{jour20221, title = {Bio-Inspired Algorithm for Coordinated Control in Mobile Devices}, author = {Ocotlán Díaz-Parra and José G. Benítez-Morales and Julio C. Ramos-Fernández and Eduardo Hernández-Huerta and Francisco R. Trejo-Macotela and Juan M. Xicoténcatl Pérez and Miguel A. Ruiz-Jaimes}, doi = {https://doi.org/10.61467/2007.1558.2022.v13i3.315}, issn = {2007-1558}, year = {2022}, date = {2022-08-23}, urldate = {2022-08-23}, journal = { International Journal of Combinatorial Optimization Problems and Informatics}, volume = {13}, number = {3}, pages = {87-97}, abstract = {The technological progress that has been achieved today, has a tendency in the application of automated mechanisms to improve the life of the human being. In the area of communications there are great advances in different applications such as, for example, being able to monitor from a mobile device event that are happening remotely at a remote point, or, for example, to monitor the mechanized control of taking medication to patients in a hospital. The objective of this research work is to be able to establish communication with mobile devices to execute instructions issued by an intelligent logic system. This system is built by means of a bio-inspired algorithm ACO (Ant Colony Optimization) that has the purpose of generating logical information and three differential type LBOOT mobile devices.}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The technological progress that has been achieved today, has a tendency in the application of automated mechanisms to improve the life of the human being. In the area of communications there are great advances in different applications such as, for example, being able to monitor from a mobile device event that are happening remotely at a remote point, or, for example, to monitor the mechanized control of taking medication to patients in a hospital. The objective of this research work is to be able to establish communication with mobile devices to execute instructions issued by an intelligent logic system. This system is built by means of a bio-inspired algorithm ACO (Ant Colony Optimization) that has the purpose of generating logical information and three differential type LBOOT mobile devices. Close doi:https://doi.org/10.61467/2007.1558.2022.v13i3.315 Close
32.	Ruiz-Vanoye, Jorge A.; Diaz-Parra, Ocotlán Editorial Comments about Safe Cities Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 13, no. 3, pp. 1, 2022, ISSN: 2007-1558. Links \| BibTeX \| Tags: CONACYT, ESCI @article{jour20222, title = {Editorial Comments about Safe Cities}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Diaz-Parra}, doi = {https://doi.org/10.61467/2007.1558.2022.v13i3.314}, issn = {2007-1558}, year = {2022}, date = {2022-08-19}, urldate = {2022-08-19}, journal = { International Journal of Combinatorial Optimization Problems and Informatics}, volume = {13}, number = {3}, pages = {1}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close doi:https://doi.org/10.61467/2007.1558.2022.v13i3.314 Close
33.	Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Trejo-Macotela, Francisco R.; Ramos-Fernández, Julio C.; Ruiz-Vanoye, Jorge A.; Zezzatti, Alberto Ochoa; Rodríguez-Flores, Jazmín Smart Education and future trends Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 13, no. 1, pp. 65-74, 2022, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{2022-1cona, title = {Smart Education and future trends}, author = {Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Francisco R. Trejo-Macotela and Julio C. Ramos-Fernández and Jorge A. Ruiz-Vanoye and Alberto Ochoa Zezzatti and Jazmín Rodríguez-Flores}, url = {https://ijcopi.org/ojs/article/view/294}, issn = {2007-1558}, year = {2022}, date = {2022-01-27}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {13}, number = {1}, pages = {65-74}, abstract = {Smart Education is the influence of diverse technologies (Combinatorial Optimization, Machine Learning, Big Data, data visualisation, Internet of Education Things, Learning analytics, and others) to enhance the quality of education. In other words, Smart Education is the process of optimally managing human, economic and technological resources from educational institutions and research centres. Smart Education is part of the Smart Society (a component of a Smart City). The Smart Education components are the Internet of Education Things (Wireless Sensor Networks, RFID Technology), management of the education physical, infrastructure, smart classroom, smart campus, smart learning, Learning analytics, Smart Analysis, data science, Education Impact, and Educational Policy. This paper is a guide for understanding Smart Education components by presenting a survey of the characteristics, taxonomy (Education-Hard problems and Education-Soft problems), smart education indicators, history and future trends.}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close Smart Education is the influence of diverse technologies (Combinatorial Optimization, Machine Learning, Big Data, data visualisation, Internet of Education Things, Learning analytics, and others) to enhance the quality of education. In other words, Smart Education is the process of optimally managing human, economic and technological resources from educational institutions and research centres. Smart Education is part of the Smart Society (a component of a Smart City). The Smart Education components are the Internet of Education Things (Wireless Sensor Networks, RFID Technology), management of the education physical, infrastructure, smart classroom, smart campus, smart learning, Learning analytics, Smart Analysis, data science, Education Impact, and Educational Policy. This paper is a guide for understanding Smart Education components by presenting a survey of the characteristics, taxonomy (Education-Hard problems and Education-Soft problems), smart education indicators, history and future trends. Close https://ijcopi.org/ojs/article/view/294 Close
34.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Ochoa, Alberto; Martinez-Mireles, Josue R.; Rodriguez-Flores, Jazmin; Campero-Jurado, Israel; Ruiz-Jaimes, Miguel A. Chapter 2 - Edge computing–Foundations and applications Book Chapter In: Sujata Dash Ajith Abraham, Joel Rodrigues (Ed.): AI, Edge and IoT-based Smart Agriculture., Chapter 2, pp. 17-30, Elsevier, 2022, ISBN: 9780128236949. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{BC20211, title = {Chapter 2 - Edge computing–Foundations and applications}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Alberto Ochoa and Josue R. Martinez-Mireles and Jazmin Rodriguez-Flores and Israel Campero-Jurado and Miguel A. Ruiz-Jaimes}, editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani}, url = {https://doi.org/10.1016/B978-0-12-823694-9.00017-7}, isbn = {9780128236949}, year = {2022}, date = {2022-01-03}, booktitle = {AI, Edge and IoT-based Smart Agriculture.}, pages = {17-30}, publisher = {Elsevier}, chapter = {2}, abstract = {The potential use of edge computing encompasses industries such as transportation, healthcare, manufacturing, agriculture, smart farms, and energy, among others. This chapter aims to be a guide for understanding edge computing by presenting the foundations, characteristics, history, taxonomy applications, and future trends.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The potential use of edge computing encompasses industries such as transportation, healthcare, manufacturing, agriculture, smart farms, and energy, among others. This chapter aims to be a guide for understanding edge computing by presenting the foundations, characteristics, history, taxonomy applications, and future trends. Close https://doi.org/10.1016/B978-0-12-823694-9.00017-7 Close
35.	Ruiz-Vanoye, Jorge A.; Barrera-Cámara, Ricardo A.; Díaz-Parra, Ocotlán; Ramos-Fernández, Julio C.; Fuentes-Penna, Alejandro; Ochoa-Zezzatti, Alberto; Hernández-Aguilar, José A.; Campero-Jurado, Israel Chapter 14 - Surveying smart farming for smart cities Book Chapter In: Sujata Dash Ajith Abraham, Joel Rodrigues (Ed.): AI, Edge and IoT-based Smart Agriculture, Chapter 18, pp. 241-262, Elsevier, 2022, ISBN: 9780128236949. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{BC20212, title = {Chapter 14 - Surveying smart farming for smart cities }, author = {Jorge A. Ruiz-Vanoye and Ricardo A. Barrera-Cámara and Ocotlán Díaz-Parra and Julio C. Ramos-Fernández and Alejandro Fuentes-Penna and Alberto Ochoa-Zezzatti and José A. Hernández-Aguilar and Israel Campero-Jurado}, editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani}, url = {https://doi.org/10.1016/B978-0-12-823694-9.00009-8}, isbn = {9780128236949}, year = {2022}, date = {2022-01-03}, booktitle = {AI, Edge and IoT-based Smart Agriculture}, pages = {241-262}, publisher = {Elsevier}, chapter = {18}, abstract = {Smart farming is the production of food from agriculture, livestock, and fisheries with technology to optimize water, energy, personnel, infrastructure, money, time, and food. In other words, smart farming is the optimal administration of the sowing, harvesting, and distribution of products derived from agriculture, livestock, and fisheries. This paper aims to be a guide for understanding smart production of foods/smart farming components by presenting a survey of the characteristics, taxonomy, history, and future trends.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close Smart farming is the production of food from agriculture, livestock, and fisheries with technology to optimize water, energy, personnel, infrastructure, money, time, and food. In other words, smart farming is the optimal administration of the sowing, harvesting, and distribution of products derived from agriculture, livestock, and fisheries. This paper aims to be a guide for understanding smart production of foods/smart farming components by presenting a survey of the characteristics, taxonomy, history, and future trends. Close https://doi.org/10.1016/B978-0-12-823694-9.00009-8 Close
36.	Ruiz-Vanoye, Jorge A.; Barrera-Cámara, Ricardo A.; Fuentes-Penna, Alejandro; Díaz-Parra, Ocotlán; Trejo-Macotela, Francisco R.; Campero-Jurado, Israel; Ruiz-Jaimes, Miguel A.; Toledo-Navarro, Yadira Chapter 28 - Internet of Things on sustainable aquaculture system Book Chapter In: Sujata Dash Ajith Abraham, Joel Rodrigues (Ed.): AI, Edge and IoT-based Smart Agriculture, Chapter 38, pp. 487-503, Elsevier, 2022, ISBN: 9780128236949. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{BC20213, title = {Chapter 28 - Internet of Things on sustainable aquaculture system}, author = {Jorge A. Ruiz-Vanoye and Ricardo A. Barrera-Cámara and Alejandro Fuentes-Penna and Ocotlán Díaz-Parra and Francisco R. Trejo-Macotela and Israel Campero-Jurado and Miguel A. Ruiz-Jaimes and Yadira Toledo-Navarro}, editor = {Ajith Abraham, Sujata Dash, Joel Rodrigues, Biswaranjan Acharya, Subhendu Pani}, url = {https://doi.org/10.1016/B978-0-12-823694-9.00009-8}, isbn = {9780128236949}, year = {2022}, date = {2022-01-03}, booktitle = {AI, Edge and IoT-based Smart Agriculture}, pages = {487-503}, publisher = {Elsevier}, chapter = {38}, abstract = {The futurnoe of aquaculture is related to smart cities. The use of the Internet of Things on sustainable aquaculture systems will enable the optimization of water, energy, personnel, money, time, and food. The topics related to aquaculture and smart cities could be the Internet of Things in sustainable aquaculture systems, real-time monitoring of water quality, the development of forecasting systems in an aquaculture context, a sustainable fish farming system framework to make aquaculture more sustainable by reducing the need for energy to control the environment using Internet of Things (IoT), aquaculture 4.0, automated aquaponics system, access and control of pH level and temperature through the IoT, and others.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The futurnoe of aquaculture is related to smart cities. The use of the Internet of Things on sustainable aquaculture systems will enable the optimization of water, energy, personnel, money, time, and food. The topics related to aquaculture and smart cities could be the Internet of Things in sustainable aquaculture systems, real-time monitoring of water quality, the development of forecasting systems in an aquaculture context, a sustainable fish farming system framework to make aquaculture more sustainable by reducing the need for energy to control the environment using Internet of Things (IoT), aquaculture 4.0, automated aquaponics system, access and control of pH level and temperature through the IoT, and others. Close https://doi.org/10.1016/B978-0-12-823694-9.00009-8 Close
2021
37.	Quintanar-Gómez, Juan; Robles-Camarillo, Daniel; Trejo-Macotela, Francisco Rafael; Díaz-Parra, Ocotlán Electronic system to monitoring vital signs in pregnancy through Random Forests Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 12, no. 1, pp. 21-28, 2021, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{2021-1J1, title = {Electronic system to monitoring vital signs in pregnancy through Random Forests}, author = {Juan Quintanar-Gómez and Daniel Robles-Camarillo and Francisco Rafael Trejo-Macotela and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.61467/2007.1558.2021.v12i1.202}, issn = {2007-1558}, year = {2021}, date = {2021-01-04}, urldate = {2021-01-04}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {12}, number = {1}, pages = {21-28}, abstract = {Currently, the care of women in pregnancy plays an essential role in improving the clinical conditions of women and babies through early detection of hypertensive disorders during pregnancy. For this reason, the clinical guidelines define blood pressure monitoring as a component for the detection of those disorders. In response to this problem, this paper proposes the design of an electronic prototype focused on the acquisition of blood pulses and weight, transmitting the information obtained through Bluetooth to a computer that processes the information obtained through Random Forest, obtaining the patient's blood pressure. As a result, a MAE of 3.215 and 1.55 mmHg is obtained for the systolic and diastolic pressure, respectively. This work is directed to the use of e-Health and artificial intelligence techniques to improve the quality of life of women in the gestational stage or patients who need to monitor their blood pressure during their daily activities.}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close Currently, the care of women in pregnancy plays an essential role in improving the clinical conditions of women and babies through early detection of hypertensive disorders during pregnancy. For this reason, the clinical guidelines define blood pressure monitoring as a component for the detection of those disorders. In response to this problem, this paper proposes the design of an electronic prototype focused on the acquisition of blood pulses and weight, transmitting the information obtained through Bluetooth to a computer that processes the information obtained through Random Forest, obtaining the patient's blood pressure. As a result, a MAE of 3.215 and 1.55 mmHg is obtained for the systolic and diastolic pressure, respectively. This work is directed to the use of e-Health and artificial intelligence techniques to improve the quality of life of women in the gestational stage or patients who need to monitor their blood pressure during their daily activities. Close doi:https://doi.org/10.61467/2007.1558.2021.v12i1.202 Close
38.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Trejo-Macotela, Francisco Rafael; Ramos-Fernández, Julio Cesar P versus NP problem from Formal Languages Theory View Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 12, no. 1, pp. 1-8, 2021, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{2021-1J2, title = {P versus NP problem from Formal Languages Theory View}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Rafael Trejo-Macotela and Julio Cesar Ramos-Fernández}, doi = {https://doi.org/10.61467/2007.1558.2021.v12i1.207}, issn = {2007-1558}, year = {2021}, date = {2021-01-04}, urldate = {2021-01-04}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {12}, number = {1}, pages = {1-8}, abstract = {P versus NP is an unsolved problem in mathematics and computational complexity. In this paper, we use the formal language theory to the computational complexity to analyze P versus NP problem from a new point of view. P versus NP problem is to determine whether some deterministic algorithm also accepts every language accepted by some nondeterministic algorithm in polynomial time in polynomial time. Then, we use the theory of formal languages to determine whether some deterministic algorithm also accepts every language accepted by some nondeterministic algorithm in polynomial time in polynomial time. We use different problems to display the question of P versus NP from Formal Languages Theory View.}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close P versus NP is an unsolved problem in mathematics and computational complexity. In this paper, we use the formal language theory to the computational complexity to analyze P versus NP problem from a new point of view. P versus NP problem is to determine whether some deterministic algorithm also accepts every language accepted by some nondeterministic algorithm in polynomial time in polynomial time. Then, we use the theory of formal languages to determine whether some deterministic algorithm also accepts every language accepted by some nondeterministic algorithm in polynomial time in polynomial time. We use different problems to display the question of P versus NP from Formal Languages Theory View. Close doi:https://doi.org/10.61467/2007.1558.2021.v12i1.207 Close
39.	Frausto-Solis, Juan; Olvera-Vazquez, Jose E.; González-Barbosa, Juan Javier; Castilla-Valdez, Guadalupe; Sánchez-Hernández, Juan P.; Perez-Ortega, Joaquín; Díaz-Parra, Ocotlán The Hybrid Forecasting Method SVR-ESAR for Covid-19 Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 12, no. 1, pp. 42-48, 2021, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{2021-1J3, title = {The Hybrid Forecasting Method SVR-ESAR for Covid-19}, author = {Juan Frausto-Solis and Jose E. Olvera-Vazquez and Juan Javier González-Barbosa and Guadalupe Castilla-Valdez and Juan P. Sánchez-Hernández and Joaquín Perez-Ortega and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.61467/2007.1558.2021.v12i1.198}, issn = {2007-1558}, year = {2021}, date = {2021-01-04}, urldate = {2021-01-04}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {12}, number = {1}, pages = {42-48}, abstract = {We know that SARS-Cov2 produces the new COVID-19 disease, which is one of the most dangerous pandemics of modern times. This pandemic has critical health and economic consequences, and even the health services of the large, powerful nations may be saturated. Thus, forecasting the number of infected persons in any country is essential for controlling the situation. In the literature, different forecasting methods have been published, attempting to solve the problem. However, a simple and accurate forecasting method is required for its implementation in any part of the world. This paper presents a precise and straightforward forecasting method named SVR-ESAR (Support Vector regression hybridized with the classical Exponential smoothing and ARIMA). We applied this method to the infected time series in four scenarios, which we have taken for the Github repository: the Whole World, China, the US, and Mexico. We compared our results with those of the literature showing the proposed method has the best accuracy.}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close We know that SARS-Cov2 produces the new COVID-19 disease, which is one of the most dangerous pandemics of modern times. This pandemic has critical health and economic consequences, and even the health services of the large, powerful nations may be saturated. Thus, forecasting the number of infected persons in any country is essential for controlling the situation. In the literature, different forecasting methods have been published, attempting to solve the problem. However, a simple and accurate forecasting method is required for its implementation in any part of the world. This paper presents a precise and straightforward forecasting method named SVR-ESAR (Support Vector regression hybridized with the classical Exponential smoothing and ARIMA). We applied this method to the infected time series in four scenarios, which we have taken for the Github repository: the Whole World, China, the US, and Mexico. We compared our results with those of the literature showing the proposed method has the best accuracy. Close doi:https://doi.org/10.61467/2007.1558.2021.v12i1.198 Close
40.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Trejo-Macotela, Francisco R. Internet de las Cosas Cerebrales para mejorar el sistema Inmune de nuestro cuerpo Online 2021. Abstract \| Links \| BibTeX \| Tags: Divulgation @online{20211b, title = {Internet de las Cosas Cerebrales para mejorar el sistema Inmune de nuestro cuerpo}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco R. Trejo-Macotela}, url = {https://issuu.com/inmenio/docs/inmenio_18_vfinal https://www.researchgate.net/publication/349254709_Internet_de_las_Cosas_Cerebrales_para_mejorar_el_sistema_Inmune_de_nuestro_cuerpo}, year = {2021}, date = {2021-01-04}, journal = {Inmenio (innovación, mente e ingenio). Revista de divulgación de la Universidad Politécnica de Pachuca. }, pages = {9-10}, publisher = {Universidad Politécnica de Pachuca}, abstract = { }, keywords = {Divulgation}, pubstate = {published}, tppubtype = {online} } Close Close https://issuu.com/inmenio/docs/inmenio_18_vfinal https://www.researchgate.net/publication/349254709_Internet_de_las_Cosas_Cerebra[...] Close
2020
41.	Mora-Rodarte, Olga; Díaz-Parra, Ocotlán Predictive Investment Model in the Mexican Metallurgical Industry Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 11, no. 2, pp. 26-39, 2020, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{j20202, title = {Predictive Investment Model in the Mexican Metallurgical Industry }, author = {Olga Mora-Rodarte and Ocotlán Díaz-Parra}, url = {https://ijcopi.org/index.php/ojs/article/view/154}, issn = {2007-1558}, year = {2020}, date = {2020-05-04}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {11}, number = {2}, pages = {26-39}, abstract = {This paper is one vision of model about predictive at all many situations of investment and production capacity in the mineral – mechanic industry in Mexico. This situation is specific whit study many minerals is an about demanding investment and impacted many activities for example, factoring industry and sector visionaries about automobilist, aeroplanes, machine, hand dispositive and others. The history of Mexico minerals is growing in opportunity optimization problem according database for more eight years in economy for selective maximized. About the model predictive establish in diagnostic the many minerals in Mexico; this is of empirical investment simulation a possible consideration tendency in investment or production of mineral important of investment and costumer in Mexico. The modelling method uses potent to execute genetic algorithm to discovery investment potential across rent and contribution grow national situation about metallurgic industry and historical reason in this industry and empirical situation. }, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close This paper is one vision of model about predictive at all many situations of investment and production capacity in the mineral – mechanic industry in Mexico. This situation is specific whit study many minerals is an about demanding investment and impacted many activities for example, factoring industry and sector visionaries about automobilist, aeroplanes, machine, hand dispositive and others. The history of Mexico minerals is growing in opportunity optimization problem according database for more eight years in economy for selective maximized. About the model predictive establish in diagnostic the many minerals in Mexico; this is of empirical investment simulation a possible consideration tendency in investment or production of mineral important of investment and costumer in Mexico. The modelling method uses potent to execute genetic algorithm to discovery investment potential across rent and contribution grow national situation about metallurgic industry and historical reason in this industry and empirical situation. Close https://ijcopi.org/index.php/ojs/article/view/154 Close
42.	Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Fuentes-Penna, Alejandro; Zezzatti, Alberto Ochoa; Cruz-Hernández, Ernesto; Estrada-García, Salma; Alvarado-Pérez, Antonio Electric School Bus Routing Problem for Smart Cities Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 11, no. 2, pp. 1-8, 2020, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI, School Bus Routing Problem @article{j20201, title = {Electric School Bus Routing Problem for Smart Cities}, author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Alberto Ochoa Zezzatti and Ernesto Cruz-Hernández and Salma Estrada-García and Antonio Alvarado-Pérez }, url = {https://ijcopi.org/index.php/ojs/article/view/167}, issn = {2007-1558}, year = {2020}, date = {2020-05-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {11}, number = {2}, pages = {1-8}, abstract = {The use of electric vehicles (cars, motorcycles, scooters, trucks, buses) in the cities is an essential component so that cities can be considered smart cities. In this paper, we propose a mathematical model for the Electric School Bus Routing Problem which aims to minimise costs and optimise transportation times and cost of the students. We propose a Genetic Algorithm with a pre-Selection Operator, Tournament Selection Operator, Crossover-K Operator, and Mutation-S Operator to solve the Electric School Bus Routing Problem (SBRP).}, keywords = {CONACYT, ESCI, School Bus Routing Problem}, pubstate = {published}, tppubtype = {article} } Close The use of electric vehicles (cars, motorcycles, scooters, trucks, buses) in the cities is an essential component so that cities can be considered smart cities. In this paper, we propose a mathematical model for the Electric School Bus Routing Problem which aims to minimise costs and optimise transportation times and cost of the students. We propose a Genetic Algorithm with a pre-Selection Operator, Tournament Selection Operator, Crossover-K Operator, and Mutation-S Operator to solve the Electric School Bus Routing Problem (SBRP). Close https://ijcopi.org/index.php/ojs/article/view/167 Close
43.	Ruiz-Vanoye, Jorge A.; Rodríguez-Flores, Jazmin; Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Ruiz-Jaimes, Miguel A.; Moreno-Sánchez, Giovani; Bañuelos-Pérez, Marai Scrum aplicado a proyectos de Innovación Tecnológica Book Editorial Académica Dragón Azteca, 2020, ISBN: 978-607-98351-3-2. BibTeX \| Tags: Academic Books, Scrum @book{book202004, title = {Scrum aplicado a proyectos de Innovación Tecnológica}, author = {Jorge A. Ruiz-Vanoye and Jazmin Rodríguez-Flores and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Miguel A. Ruiz-Jaimes and Giovani Moreno-Sánchez and Marai Bañuelos-Pérez}, isbn = {978-607-98351-3-2}, year = {2020}, date = {2020-04-30}, publisher = {Editorial Académica Dragón Azteca}, keywords = {Academic Books, Scrum}, pubstate = {published}, tppubtype = {book} } Close
44.	Díaz-Parra, Ocotlán Maritime Platform Transport Problem of Solid, Special, and Dangerous Waste Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 11, no. 3, pp. 1-8, 2020, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{Jor20203, title = {Maritime Platform Transport Problem of Solid, Special, and Dangerous Waste }, author = {Ocotlán Díaz-Parra}, url = {https://ijcopi.org/ojs/article/view/178/131}, issn = {2007-1558}, year = {2020}, date = {2020-03-08}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {11}, number = {3}, pages = {1-8}, abstract = {The Maritime Platform Transport Problem of Solid, Special and Dangerous Waste consists of to minimize the monetary value of carrying different types of waste from one location to another location using ships. We present a mathematical model and the use CPLEX to find the optimal values to solve the Solid, Special and Hazardous Waste Transportation Problem of offshore platforms instances of Mexican state-owned petroleum company (PEMEX). The set of instances used are WTPLib real instances and the tool CPLEX solver to solve the Problem.}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The Maritime Platform Transport Problem of Solid, Special and Dangerous Waste consists of to minimize the monetary value of carrying different types of waste from one location to another location using ships. We present a mathematical model and the use CPLEX to find the optimal values to solve the Solid, Special and Hazardous Waste Transportation Problem of offshore platforms instances of Mexican state-owned petroleum company (PEMEX). The set of instances used are WTPLib real instances and the tool CPLEX solver to solve the Problem. Close https://ijcopi.org/ojs/article/view/178/131 Close
45.	Alberto-Rodriguez, Adrián; Neri-Muñoz, Martín; Ramos-Fernández, Julio Cesar; Márquez-Vera, Marco Antonio; Ramos-Velasco, Luis Enrique; Díaz-Parra, Ocotlan; Hernández-Huerta, Eduardo Review of control on agricultural robot tractors Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 11, no. 3, pp. 9-20, 2020, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{Jor202032, title = {Review of control on agricultural robot tractors }, author = {Adrián Alberto-Rodriguez and Martín Neri-Muñoz and Julio Cesar Ramos-Fernández and Marco Antonio Márquez-Vera and Luis Enrique Ramos-Velasco and Ocotlan Díaz-Parra and Eduardo Hernández-Huerta }, url = {https://ijcopi.org/ojs/article/view/171/132}, issn = {2007-1558}, year = {2020}, date = {2020-03-08}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {11}, number = {3}, pages = {9-20}, abstract = {This article studies the most common methods of autonomous vehicle guidance, as well as a review of companies that have already developed their own self-guided tractors. The most common methods for autonomous guidance are through the position obtained from an RTK-GPS and by artificial vision. For both cases, sensors have to be implemented that help the task assigned, such as LIDAR sensors, proximity sensors, among others, that detect the tractor to know the working environment and define the correct route and even avoid collision, to comply with the assigned task, managing to improve production time and quality. The two guidance methods mentioned in this work fail to have error = 0, either by the type of sensor or by the technique used. Among the most commonly used techniques for obstacle avoidance are the possible field method or the probabilistic route planner.}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close This article studies the most common methods of autonomous vehicle guidance, as well as a review of companies that have already developed their own self-guided tractors. The most common methods for autonomous guidance are through the position obtained from an RTK-GPS and by artificial vision. For both cases, sensors have to be implemented that help the task assigned, such as LIDAR sensors, proximity sensors, among others, that detect the tractor to know the working environment and define the correct route and even avoid collision, to comply with the assigned task, managing to improve production time and quality. The two guidance methods mentioned in this work fail to have error = 0, either by the type of sensor or by the technique used. Among the most commonly used techniques for obstacle avoidance are the possible field method or the probabilistic route planner. Close https://ijcopi.org/ojs/article/view/171/132 Close
46.	Ángeles-Meneses, Aridelci; Benítez-Morales, José Gerardo; Hernández-Pérez, Javier; Díaz-Parra, Ocotlan; Magaña-Méndez, Mario Alberto Flight control mechanisms of a comet Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 11, no. 3, pp. 49-60, 2020, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONACYT, ESCI @article{Jor202033, title = {Flight control mechanisms of a comet }, author = {Aridelci Ángeles-Meneses and José Gerardo Benítez-Morales and Javier Hernández-Pérez and Ocotlan Díaz-Parra and Mario Alberto Magaña-Méndez }, url = {https://ijcopi.org/ojs/article/view/173/135}, issn = {2007-1558}, year = {2020}, date = {2020-03-08}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {11}, number = {3}, pages = {49-60}, abstract = {The growth of technology and the demand for the use of renewable resources has unleashed the interest of researchers to generate knowledge to obtain resources of this type. For this they have built different proposals, one of them is the generation of energy through wind resources. In this article, a search is carried out in publications that relate renewable energies to air vehicles, proposals for flight control mechanisms in an aerodynamic system and the different control designs used by researchers in this area}, keywords = {CONACYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The growth of technology and the demand for the use of renewable resources has unleashed the interest of researchers to generate knowledge to obtain resources of this type. For this they have built different proposals, one of them is the generation of energy through wind resources. In this article, a search is carried out in publications that relate renewable energies to air vehicles, proposals for flight control mechanisms in an aerodynamic system and the different control designs used by researchers in this area Close https://ijcopi.org/ojs/article/view/173/135 Close
2019
47.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Vélez-Díaz, Daniel; García-Munguía, Mónica; Ruiz-Jaimes, Miguel A. Introducción a los Robots Médicos Book Editorial Académica Dragón Azteca, 2019, ISBN: 978-607-98351-1-8 . Links \| BibTeX \| Tags: Divulgation Books @book{Bbook20191, title = {Introducción a los Robots Médicos }, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Daniel Vélez-Díaz and Mónica García-Munguía and Miguel A. Ruiz-Jaimes}, url = {http://www.ruizdiaz.com.mx/omp/index.php/editada/catalog/book/21}, isbn = {978-607-98351-1-8 }, year = {2019}, date = {2019-12-20}, publisher = {Editorial Académica Dragón Azteca}, keywords = {Divulgation Books}, pubstate = {published}, tppubtype = {book} } Close http://www.ruizdiaz.com.mx/omp/index.php/editada/catalog/book/21 Close
48.	Ruiz-Vanoye, Jorge A.; Ochoa-Zezzatti, Alberto; Díaz-Parra, Ocotlán; Cruz-Hernández, Ernesto; Estrada-García, Salma; Ramos-Fernández, Julio C.; Trejo-Macotela, Francisco R.; Fuentes-Penna, Alejandro Introducción al Internet de las Cosas y las Ciudades Inteligentes Book Editorial Académica Dragón Azteca, 2019, ISBN: 978-607-98351-2-5. Links \| BibTeX \| Tags: Research Books @book{Bbook20192, title = {Introducción al Internet de las Cosas y las Ciudades Inteligentes }, author = {Jorge A. Ruiz-Vanoye and Alberto Ochoa-Zezzatti and Ocotlán Díaz-Parra and Ernesto Cruz-Hernández and Salma Estrada-García and Julio C. Ramos-Fernández and Francisco R. Trejo-Macotela and Alejandro Fuentes-Penna}, url = {http://www.ruizdiaz.com.mx/omp/index.php/editada/catalog/book/22}, isbn = {978-607-98351-2-5}, year = {2019}, date = {2019-12-20}, publisher = {Editorial Académica Dragón Azteca}, keywords = {Research Books}, pubstate = {published}, tppubtype = {book} } Close http://www.ruizdiaz.com.mx/omp/index.php/editada/catalog/book/22 Close
49.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán El viajero científico y tecnológico interestelar Book Editorial Académica Dragón Azteca, 2019, ISBN: 978-607-98351-0-1. BibTeX \| Tags: Divulgation Books @book{Bbook20193, title = {El viajero científico y tecnológico interestelar}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, isbn = {978-607-98351-0-1}, year = {2019}, date = {2019-12-20}, publisher = {Editorial Académica Dragón Azteca}, keywords = {Divulgation Books}, pubstate = {published}, tppubtype = {book} } Close
50.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Ruiz-Jaimes, Miguel A.; Pérez-Ortega, Joaquín Editorial for Volume 10 Number 3: Can Machines Play Musical Instruments? Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 10, no. 3, pp. 1-6, 2019, ISSN: 2007-1558. Links \| BibTeX \| Tags: ESCI @article{jj2019-33, title = {Editorial for Volume 10 Number 3: Can Machines Play Musical Instruments?}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Miguel A. Ruiz-Jaimes and Joaquín Pérez-Ortega}, url = {https://ijcopi.org/index.php/ojs/article/view/125/107}, issn = {2007-1558}, year = {2019}, date = {2019-09-02}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {10}, number = {3}, pages = {1-6}, keywords = {ESCI}, pubstate = {published}, tppubtype = {article} } Close https://ijcopi.org/index.php/ojs/article/view/125/107 Close

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