Publications – Dr. Jorge A. Ruiz-Vanoye

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2026
1.	Aguilar-Ortiz, Jaime; Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Vera-Jiménez, Marco A.; Zamudio-García, Víctor M.; Domínguez-Mayorga, Carlos R. Ocean Digital Twins, Hybrid Architectures, and Reproducible Frameworks for Marine Ecosystems Book Chapter In: Trejo-Macotela, Francisco (Ed.): Smart Technologies for Ocean Conservation: Innovations in the Protection and Sustainable Use of the Seas, Chapter 7, pp. 187–214, IGI Global Scientific Publishing, 2026, ISBN: 9798337358819. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{AguilarOrtiz2026OceanDigitalTwins, title = {Ocean Digital Twins, Hybrid Architectures, and Reproducible Frameworks for Marine Ecosystems}, author = {Jaime Aguilar-Ortiz and Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Marco A. Vera-Jiménez and Víctor M. Zamudio-García and Carlos R. Domínguez-Mayorga}, editor = {Francisco Trejo-Macotela}, url = {https://doi.org/10.4018/979-8-3373-5881-9.ch007}, doi = {10.4018/979-8-3373-5881-9.ch007}, isbn = {9798337358819}, year = {2026}, date = {2026-01-01}, urldate = {2026-01-01}, booktitle = {Smart Technologies for Ocean Conservation: Innovations in the Protection and Sustainable Use of the Seas}, pages = {187–214}, publisher = {IGI Global Scientific Publishing}, chapter = {7}, abstract = {This article explores the concept and architecture of ocean digital twins, focusing on reproducible frameworks linking observational data, AI, and simulation models. It defines core layers data ingestion, preprocessing, modeling, orchestration, and visualization emphasizing hybrid approaches combining physics-based simulations and machine learning. It highlights modularity, interoperability, and scalability for ecosystem understanding and decision support. Key aspects include managing large datasets, predictive modeling, anomaly detection, reproducibility, and experiment tracking. The work also examines dashboards and web apps for visualization and early warnings. A case study presents a minimal viable twin for sea surface temperature forecasting. Overall, ocean digital twins emerge as transformative tools for science, climate policy, education, and marine conservation. All the code can be consulted at: https://github.com/JAIME6609/WATER-MODELS/blob/main/GEMELOS-DIGITALES-01-ENGLISH.py}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close This article explores the concept and architecture of ocean digital twins, focusing on reproducible frameworks linking observational data, AI, and simulation models. It defines core layers data ingestion, preprocessing, modeling, orchestration, and visualization emphasizing hybrid approaches combining physics-based simulations and machine learning. It highlights modularity, interoperability, and scalability for ecosystem understanding and decision support. Key aspects include managing large datasets, predictive modeling, anomaly detection, reproducibility, and experiment tracking. The work also examines dashboards and web apps for visualization and early warnings. A case study presents a minimal viable twin for sea surface temperature forecasting. Overall, ocean digital twins emerge as transformative tools for science, climate policy, education, and marine conservation. All the code can be consulted at: https://github.com/JAIME6609/WATER-MODELS/blob/main/GEMELOS-DIGITALES-01-ENGLISH.py Close https://doi.org/10.4018/979-8-3373-5881-9.ch007 doi:10.4018/979-8-3373-5881-9.ch007 Close
2.	Xicotencatl-Pérez, Juan Manuel; Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Liceaga-Ortiz-De-La-Peña, José M.; Hernández-Terrazas, Rubén Oswaldo; Ramos-Fernández, Julio César Renewable Energy Deployments at Sea: Innovative Pathways and Challenges for Marine Renewable Energy in the Global Transition Book Chapter In: Trejo-Macotela, Francisco (Ed.): Smart Technologies for Ocean Conservation: Innovations in the Protection and Sustainable Use of the Seas, Chapter 5, pp. 123–150, IGI Global Scientific Publishing, 2026, ISBN: 9798337358819. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{XicotencatlPerez2026RenewableSea, title = {Renewable Energy Deployments at Sea: Innovative Pathways and Challenges for Marine Renewable Energy in the Global Transition}, author = {Juan Manuel Xicotencatl-Pérez and Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and José M. Liceaga-Ortiz-De-La-Peña and Rubén Oswaldo Hernández-Terrazas and Julio César Ramos-Fernández}, editor = {Francisco Trejo-Macotela}, url = {https://www.igi-global.com/gateway/chapter/399157}, doi = {10.4018/979-8-3373-5881-9.ch005}, isbn = {9798337358819}, year = {2026}, date = {2026-01-01}, urldate = {2026-01-01}, booktitle = {Smart Technologies for Ocean Conservation: Innovations in the Protection and Sustainable Use of the Seas}, pages = {123–150}, publisher = {IGI Global Scientific Publishing}, chapter = {5}, abstract = {This chapter per the authors examines the implementation of renewable energy in the marine environment as a critical dimension of the global energy transition. It highlights the consolidation of offshore wind, both fixed-bottom and floating, as a mature technology, while also addressing the potential of emerging resources such as wave and tidal energy, Ocean Thermal Energy Conversion (OTEC), and salinity gradient power. The chapter reviews recent pilot projects in Europe, North America, and Asia, discussing their technical feasibility, cost challenges, and environmental implications. Particular attention is given to hybrid models that combine marine renewables with solar, aquaculture, desalination, and hydrogen production, as well as to policy instruments, marine spatial planning, and community engagement. Through this integrated perspective, the chapter emphasizes the opportunities and limitations of marine renewable energy, presenting it as a driver of the blue economy and a catalyst for sustainable development in coastal and island regions. }, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close This chapter per the authors examines the implementation of renewable energy in the marine environment as a critical dimension of the global energy transition. It highlights the consolidation of offshore wind, both fixed-bottom and floating, as a mature technology, while also addressing the potential of emerging resources such as wave and tidal energy, Ocean Thermal Energy Conversion (OTEC), and salinity gradient power. The chapter reviews recent pilot projects in Europe, North America, and Asia, discussing their technical feasibility, cost challenges, and environmental implications. Particular attention is given to hybrid models that combine marine renewables with solar, aquaculture, desalination, and hydrogen production, as well as to policy instruments, marine spatial planning, and community engagement. Through this integrated perspective, the chapter emphasizes the opportunities and limitations of marine renewable energy, presenting it as a driver of the blue economy and a catalyst for sustainable development in coastal and island regions. Close https://www.igi-global.com/gateway/chapter/399157 doi:10.4018/979-8-3373-5881-9.ch005 Close
3.	Aguilar-Ortiz, Jaime; Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Vera-Jiménez, Marco A.; Zamudio-García, Víctor M.; Domínguez-Mayorga, Carlos R. Topological Deep Learning for Coral Reefs: Autoencoders and Persistent Homology in Smart Oceans Book Chapter In: Trejo-Macotela, Francisco (Ed.): Smart Technologies for Ocean Conservation: Innovations in the Protection and Sustainable Use of the Seas, Chapter 8, pp. 215–248, IGI Global Scientific Publishing, 2026, ISBN: 9798337358819. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{AguilarOrtiz2026TopologicalDLCoralb, title = {Topological Deep Learning for Coral Reefs: Autoencoders and Persistent Homology in Smart Oceans}, author = {Jaime Aguilar-Ortiz and Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Marco A. Vera-Jiménez and Víctor M. Zamudio-García and Carlos R. Domínguez-Mayorga}, editor = {Francisco Trejo-Macotela}, url = {https://doi.org/10.4018/979-8-3373-5881-9.ch008}, doi = {10.4018/979-8-3373-5881-9.ch008}, isbn = {9798337358819}, year = {2026}, date = {2026-01-01}, urldate = {2026-01-01}, booktitle = {Smart Technologies for Ocean Conservation: Innovations in the Protection and Sustainable Use of the Seas}, pages = {215–248}, publisher = {IGI Global Scientific Publishing}, chapter = {8}, abstract = {The conservation of marine ecosystems, especially coral reefs, requires advanced tools to capture their complexity. This chapter proposes integrating deep autoencoder neural networks with algebraic topology to analyze and reconstruct marine data. Persistent homology detects invariant topological features components, cycles, cavities across filtration scales. Combined with autoencoders, it reduces dimensionality and preserves topology during encoding and decoding. The process involves data preprocessing, latent-space training, persistence diagrams, Betti curves, and evaluation through mean squared error and Wasserstein distance. Results show that topologically informed models enhance interpretability, reveal reef health indicators, and improve transparency. This fusion of AI and topology supports sustainable ocean conservation through robust monitoring and predictive frameworks aligned with global goals. All the code can be consulted at: https://github.com/JAIME6609/WATER-MODELS/blob/main/ARRECIFES-TOPOLOGIA-02C-INGLES.py}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The conservation of marine ecosystems, especially coral reefs, requires advanced tools to capture their complexity. This chapter proposes integrating deep autoencoder neural networks with algebraic topology to analyze and reconstruct marine data. Persistent homology detects invariant topological features components, cycles, cavities across filtration scales. Combined with autoencoders, it reduces dimensionality and preserves topology during encoding and decoding. The process involves data preprocessing, latent-space training, persistence diagrams, Betti curves, and evaluation through mean squared error and Wasserstein distance. Results show that topologically informed models enhance interpretability, reveal reef health indicators, and improve transparency. This fusion of AI and topology supports sustainable ocean conservation through robust monitoring and predictive frameworks aligned with global goals. All the code can be consulted at: https://github.com/JAIME6609/WATER-MODELS/blob/main/ARRECIFES-TOPOLOGIA-02C-INGLES.py Close https://doi.org/10.4018/979-8-3373-5881-9.ch008 doi:10.4018/979-8-3373-5881-9.ch008 Close
2025
4.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Simancas-Acevedo, Eric Fundamentals of Smart Government Book Chapter In: Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Simancas-Acevedo, Eric (Ed.): Innovation, Transparency, and Participation in Smart Government, Chapter 1, pp. 1-26, IGI Global Scientific Publishing, 2025, ISBN: 9798337355351. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{202517112, title = {Fundamentals of Smart Government}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Eric Simancas-Acevedo}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Eric Simancas-Acevedo}, doi = {10.4018/979-8-3373-5535-1.ch001}, isbn = {9798337355351}, year = {2025}, date = {2025-11-17}, urldate = {2025-11-17}, booktitle = {Innovation, Transparency, and Participation in Smart Government}, pages = {1-26}, publisher = {IGI Global Scientific Publishing}, chapter = {1}, abstract = {The emergence of digital technologies — cloud computing, big data analytics, the Internet of Things (IoT), artificial intelligence (AI), and blockchain — has transformed public administration into a data-driven, citizen-centred ecosystem often referred to as smart government. This paper synthesises theoretical foundations and empirical evidence on how these technologies are reshaping governance structures, decision-making processes, service delivery models, and stakeholder engagement. We further examine the policy implications — including regulatory frameworks, capacity building, and ethical considerations — and propose a framework for scaling smart government initiatives while mitigating risks such as privacy erosion, digital exclusion, and governance fragmentation. The paper concludes with recommendations for policymakers, practitioners, and researchers to foster resilient, inclusive, and evidence-based digital public services.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The emergence of digital technologies — cloud computing, big data analytics, the Internet of Things (IoT), artificial intelligence (AI), and blockchain — has transformed public administration into a data-driven, citizen-centred ecosystem often referred to as smart government. This paper synthesises theoretical foundations and empirical evidence on how these technologies are reshaping governance structures, decision-making processes, service delivery models, and stakeholder engagement. We further examine the policy implications — including regulatory frameworks, capacity building, and ethical considerations — and propose a framework for scaling smart government initiatives while mitigating risks such as privacy erosion, digital exclusion, and governance fragmentation. The paper concludes with recommendations for policymakers, practitioners, and researchers to foster resilient, inclusive, and evidence-based digital public services. Close doi:10.4018/979-8-3373-5535-1.ch001 Close
5.	Xicotencatl-Pérez, Juan M.; Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Liceaga-Ortiz-de-La-Peña, José Miguel; Ramos-Fernández, Julio C.; Hernández-Terrazas, Rubén O. Smart Grids for Governments: Strategy, Technology, and Energy Transition Book Chapter In: Ruiz-Vanoye, Jorge A.; Parra, Ocotlán Díaz; Simancas-Acevedo, Eric (Ed.): Innovation, Transparency, and Participation in Smart Government, Chapter 3, pp. 63-90, IGI Global Scientific Publishing, 2025, ISBN: 9798337355351. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{202517113, title = {Smart Grids for Governments: Strategy, Technology, and Energy Transition}, author = {Juan M. Xicotencatl-Pérez and Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and José Miguel Liceaga-Ortiz-de-La-Peña and Julio C. Ramos-Fernández and Rubén O. Hernández-Terrazas}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz Parra and Eric Simancas-Acevedo}, doi = {10.4018/979-8-3373-5535-1.ch003}, isbn = {9798337355351}, year = {2025}, date = {2025-11-17}, urldate = {2025-11-17}, booktitle = {Innovation, Transparency, and Participation in Smart Government}, pages = {63-90}, publisher = {IGI Global Scientific Publishing}, chapter = {3}, abstract = {This chapter presents a comprehensive overview of Smart Grid implementation from a governmental perspective, structured into five thematic modules. These modules range from the technical diagnosis of legacy electricity grids to the assessment of technological maturity levels, and they include enabling tools such as AMI, SCADA, and VPPs. The chapter also examines the integration of renewable energy sources, the emergence of new actors such as prosumers and electric vehicles, and the importance of appropriate regulatory frameworks and incentives. Overall, it articulates strategy, technology, and governance to support governments in the transition toward smarter, more resilient, and more sustainable electricity systems.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close This chapter presents a comprehensive overview of Smart Grid implementation from a governmental perspective, structured into five thematic modules. These modules range from the technical diagnosis of legacy electricity grids to the assessment of technological maturity levels, and they include enabling tools such as AMI, SCADA, and VPPs. The chapter also examines the integration of renewable energy sources, the emergence of new actors such as prosumers and electric vehicles, and the importance of appropriate regulatory frameworks and incentives. Overall, it articulates strategy, technology, and governance to support governments in the transition toward smarter, more resilient, and more sustainable electricity systems. Close doi:10.4018/979-8-3373-5535-1.ch003 Close
6.	Fuentes-Penna, Alejandro; Cárdenas, Raúl Gómez; Vanoye, Jorge A. Ruiz An Approach to the Integration of Artificial Intelligence in Inclusive Education for Latin America Book Chapter In: Aguilar-Ortiz, J. (Ed.): AI Applications in Instructional Education Strategies, Chapter 3, pp. 77-98, IGI Global Scientific Publishing, 2025, ISBN: 9798337305981. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{ch26111, title = {An Approach to the Integration of Artificial Intelligence in Inclusive Education for Latin America}, author = {Alejandro Fuentes-Penna and Raúl Gómez Cárdenas and Jorge A. Ruiz Vanoye}, editor = {J. Aguilar-Ortiz}, doi = {https://doi.org/10.4018/979-8-3373-0598-1.ch003}, isbn = {9798337305981}, year = {2025}, date = {2025-10-26}, urldate = {2025-10-26}, booktitle = {AI Applications in Instructional Education Strategies}, pages = {77-98}, publisher = {IGI Global Scientific Publishing}, chapter = {3}, abstract = {Inclusive education is a process aimed at recognizing the learning needs of students and the need to present solutions that allow them to learn meaningfully, reducing the gaps in access to education. On the other hand, Artificial Intelligence has advanced in its incorporation into various areas of knowledge, education being an area that requires the use of all kinds of tools, techniques, and resources available to ensure access to children and young people worldwide. This chapter provides a review of the context of education and the need to incorporate AI-based tools to ensure inclusive education. The trend towards the use of emerging technologies in education has made it possible to propose significant findings aimed at transforming teaching practices and facilitating access to knowledge by students in individual learning processes. With this, tools are proposed to facilitate the teaching-learning process in an inclusive context.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close Inclusive education is a process aimed at recognizing the learning needs of students and the need to present solutions that allow them to learn meaningfully, reducing the gaps in access to education. On the other hand, Artificial Intelligence has advanced in its incorporation into various areas of knowledge, education being an area that requires the use of all kinds of tools, techniques, and resources available to ensure access to children and young people worldwide. This chapter provides a review of the context of education and the need to incorporate AI-based tools to ensure inclusive education. The trend towards the use of emerging technologies in education has made it possible to propose significant findings aimed at transforming teaching practices and facilitating access to knowledge by students in individual learning processes. With this, tools are proposed to facilitate the teaching-learning process in an inclusive context. Close doi:https://doi.org/10.4018/979-8-3373-0598-1.ch003 Close
7.	Ruiz-Jaimes, Miguel Á.; Toledo-Navarro, Yadira; Daza-Castillo, Ángel I.; Vergara-Morales, Tlaloc H.; Bárcenas-Cortes, Ana L.; Ruiz-Vanoye, Jorge A. Applications of Artificial Intelligence in Instructional Design and Educational Strategies Book Chapter In: Aguilar-Ortiz, Jaime (Ed.): AI Applications in Instructional Education Strategies, Chapter 8, pp. 189-222, IGI Global Scientific Publishing, 2025, ISBN: 9798337305981. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{ch2510262, title = {Applications of Artificial Intelligence in Instructional Design and Educational Strategies}, author = {Miguel Á. Ruiz-Jaimes and Yadira Toledo-Navarro and Ángel I. Daza-Castillo and Tlaloc H. Vergara-Morales and Ana L. Bárcenas-Cortes and Jorge A. Ruiz-Vanoye}, editor = {Jaime Aguilar-Ortiz}, doi = {https://doi.org/10.4018/979-8-3373-0598-1.ch008}, isbn = {9798337305981}, year = {2025}, date = {2025-10-26}, urldate = {2025-10-26}, booktitle = {AI Applications in Instructional Education Strategies}, pages = {189-222}, publisher = { IGI Global Scientific Publishing}, chapter = {8}, abstract = {This chapter examines the impact of Artificial Intelligence (AI) on teaching methods and instructional strategies across different educational levels. It focuses on key applications such as personalized learning, intelligent tutoring systems, educational gamification, and automated assessment. Through a systematic review of recent literature and case studies, it analyzes how these technologies are transforming the teaching-learning experience, optimizing educational resources, and enabling more individualized student support. The chapter also addresses ethical challenges related to AI in education, including data privacy, equitable access, and over-reliance on technology. It offers recommendations for the responsible implementation of AI, emphasizing the need for updated educational policies, continuous teacher training, and ethical regulatory frameworks. The chapter concludes that, when applied appropriately, AI has the potential to strengthen equity, improve learning outcomes, and redefine the teacher's role as a facilitator of critical and creative thinking.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close This chapter examines the impact of Artificial Intelligence (AI) on teaching methods and instructional strategies across different educational levels. It focuses on key applications such as personalized learning, intelligent tutoring systems, educational gamification, and automated assessment. Through a systematic review of recent literature and case studies, it analyzes how these technologies are transforming the teaching-learning experience, optimizing educational resources, and enabling more individualized student support. The chapter also addresses ethical challenges related to AI in education, including data privacy, equitable access, and over-reliance on technology. It offers recommendations for the responsible implementation of AI, emphasizing the need for updated educational policies, continuous teacher training, and ethical regulatory frameworks. The chapter concludes that, when applied appropriately, AI has the potential to strengthen equity, improve learning outcomes, and redefine the teacher's role as a facilitator of critical and creative thinking. Close doi:https://doi.org/10.4018/979-8-3373-0598-1.ch008 Close
8.	Trejo-Macotela, Francisco R.; Ruiz-Vanoye, Jorge A. Automating Administrative Tasks Book Chapter In: Aguilar-Ortiz, Jaime (Ed.): AI Applications in Instructional Education Strategies, Chapter 14, pp. 373-422, IGI Global Scientific Publishing, 2025, ISBN: 9798337305981. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{ch2510263, title = {Automating Administrative Tasks}, author = {Francisco R. Trejo-Macotela and Jorge A. Ruiz-Vanoye }, editor = {Jaime Aguilar-Ortiz}, doi = {https://doi.org/10.4018/979-8-3373-0598-1.ch014}, isbn = {9798337305981}, year = {2025}, date = {2025-10-26}, booktitle = {AI Applications in Instructional Education Strategies}, pages = {373-422}, publisher = {IGI Global Scientific Publishing}, chapter = {14}, abstract = {This chapter explores the integration of artificial intelligence (AI) in automating administrative tasks within educational institutions. Drawing on recent technological advances, it analyses how AI tools—such as machine learning algorithms, natural language processing, and predictive analytics—are used to optimise processes including enrolment, scheduling, reporting, and early warning systems. Case studies from primary to tertiary education reveal improved efficiency, reduced human error, cost savings, and staff reallocation to pedagogical roles. The study also addresses technological limitations, data privacy concerns, algorithmic bias, and institutional resistance. Findings highlight that successful implementation requires technological readiness, ethical frameworks, ongoing professional development, and inclusive leadership. Ultimately, AI-driven automation in school administration holds transformative potential when strategically aligned with human values, equity, and educational quality, fostering more responsive, sustainable, and data-informed governance.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close This chapter explores the integration of artificial intelligence (AI) in automating administrative tasks within educational institutions. Drawing on recent technological advances, it analyses how AI tools—such as machine learning algorithms, natural language processing, and predictive analytics—are used to optimise processes including enrolment, scheduling, reporting, and early warning systems. Case studies from primary to tertiary education reveal improved efficiency, reduced human error, cost savings, and staff reallocation to pedagogical roles. The study also addresses technological limitations, data privacy concerns, algorithmic bias, and institutional resistance. Findings highlight that successful implementation requires technological readiness, ethical frameworks, ongoing professional development, and inclusive leadership. Ultimately, AI-driven automation in school administration holds transformative potential when strategically aligned with human values, equity, and educational quality, fostering more responsive, sustainable, and data-informed governance. Close doi:https://doi.org/10.4018/979-8-3373-0598-1.ch014 Close
9.	Díaz-Parra, Ocotlan; Ruiz-Vanoye, Jorge A.; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Xicoténcatl-Pérez, Juan M. Innovation and Smart Tourism: Entrepreneurship in the Digital Age Book Chapter In: Arora, Manpreet; Sharma, Anukrati; Su, Che-Jen (Ed.): Sustainable Tourism: Entrepreneurial Trends, Opportunities, and Strategic Insights (Volume 2), vol. 2, Chapter Chapter 5, Emerald Publishing Limited, 2025, ISBN: 978-1-83708-054-0. Links \| BibTeX \| Tags: chapters @inbook{ch2510261, title = {Innovation and Smart Tourism: Entrepreneurship in the Digital Age}, author = {Ocotlan Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Juan M. Xicoténcatl-Pérez}, editor = {Manpreet Arora and Anukrati Sharma and Che-Jen Su }, doi = {https://doi.org/10.1108/978-1-83708-054-020251005}, isbn = {978-1-83708-054-0}, year = {2025}, date = {2025-10-01}, booktitle = {Sustainable Tourism: Entrepreneurial Trends, Opportunities, and Strategic Insights (Volume 2)}, volume = {2}, publisher = {Emerald Publishing Limited}, chapter = {Chapter 5}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close doi:https://doi.org/10.1108/978-1-83708-054-020251005 Close
10.	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: & O. Díaz-Parra, Ruiz-Vanoye (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 = {Ruiz-Vanoye & O. Díaz-Parra}, doi = {https://doi.org/10.4018/979-8-3693-8161-8.ch009}, isbn = {9798369381618}, year = {2025}, date = {2025-03-08}, urldate = {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
11.	Liceaga-Ortiz-De-La-Peña, José M.; Xicoténcatl-Pérez, Juan; Ruiz-Vanoye, Jorge A.; Hernández-Terrazas, R. O.; Martínez, I. P.; Márquez-García, Marco A.; Ramos-Fernández, Julio C.; Salgado-Ramírez, Julio C.; Marroquín-Gutiérrez, Francisco AI to Contribute to the Development of More Efficient and Sustainable Battery Technologies Book Chapter In: Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán (Ed.): Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals, Chapter 17, pp. 339-364, IGI Global, 2025, ISBN: 9798369381618. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{bc103252, title = { AI to Contribute to the Development of More Efficient and Sustainable Battery Technologies}, author = {José M. Liceaga-Ortiz-De-La-Peña and Juan Xicoténcatl-Pérez and Jorge A. Ruiz-Vanoye and R.O. Hernández-Terrazas and I.P. Martínez and Marco A. Márquez-García and Julio C . Ramos-Fernández and Julio C. Salgado-Ramírez and Francisco Marroquín-Gutiérrez}, editor = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.4018/979-8-3693-8161-8.ch017}, isbn = {9798369381618}, year = {2025}, date = {2025-03-08}, booktitle = {Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals}, pages = {339-364}, publisher = {IGI Global}, chapter = {17}, abstract = {Artificial Intelligence (AI), in particular Machine Learning (ML), is being used to revolutionize battery Research and Development (R&D). With AI, complex and multivariable aspects of battery performance, life cycle, safety, cost, environmental effects and resource management are addressed through data management, as demonstrated by organizations such as BASF and the French Energy Storage Electrochemical Network (RS2E). AI, especially ML, plays a key role in diagnosing and estimating the state of health (SOH) and predicting the remaining useful life (RUL) of batteries using models trained on historical data, allowing SOH to be estimated. These models range from statistical data based methods such as Support Vector Machine (SVM) and Gaussian Process Regression (GPR) to those based on neural networks. This paper highlights the main challenges in which AI is used, such as the lack of systematic data on electrode porosity, electrolyte volume, the complexity of developing accurate electrochemical models, limiting the potential of AI in battery research and manufacturing.}, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close Artificial Intelligence (AI), in particular Machine Learning (ML), is being used to revolutionize battery Research and Development (R&D). With AI, complex and multivariable aspects of battery performance, life cycle, safety, cost, environmental effects and resource management are addressed through data management, as demonstrated by organizations such as BASF and the French Energy Storage Electrochemical Network (RS2E). AI, especially ML, plays a key role in diagnosing and estimating the state of health (SOH) and predicting the remaining useful life (RUL) of batteries using models trained on historical data, allowing SOH to be estimated. These models range from statistical data based methods such as Support Vector Machine (SVM) and Gaussian Process Regression (GPR) to those based on neural networks. This paper highlights the main challenges in which AI is used, such as the lack of systematic data on electrode porosity, electrolyte volume, the complexity of developing accurate electrochemical models, limiting the potential of AI in battery research and manufacturing. Close doi:https://doi.org/10.4018/979-8-3693-8161-8.ch017 Close
12.	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{bc182252, 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}, urldate = {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
13.	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{bc182251, 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
14.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Ramos-Fernández, Julio C.; Xicoténcatl-Pérez, Juan; Aguilar-Ortiz, Jaime; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C. 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
15.	Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C.; Ramos-Fernández, Julio C.; Xicoténcatl-Pérez, Juan; 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 Xicoténcatl-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
16.	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, Chapter 1, 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}, chapter = {1}, 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
2024
17.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Ruiz-Jaimes, Miguel A.; Aguilar-Ortiz, Jaime; Simancas-Acevedo, Eric; Rodriguez-Flores, Jazmín; Martínez-Mireles, Josué R.; Xicoténcatl-Pérez, Juan M.; Jimenez, Marco A. Vera The Role of Smart Cities in Creating Sustainable Urban Environments through Strategies and Innovative Solutions Book Chapter In: Gülhan, Görkem; Polat, Olcay (Ed.): Interdisciplinary Approaches to Transportation and Urban Planning, Chapter 2, IGI Global, 2024, ISBN: 9798369366950. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{chapter147, 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 R. Martínez-Mireles and Juan M. Xicoténcatl-Pérez and Marco A. Vera Jimenez}, editor = {Görkem Gülhan and Olcay Polat}, doi = {10.4018/979-8-3693-6695-0.ch002}, isbn = {9798369366950}, year = {2024}, date = {2024-10-31}, urldate = {2024-10-31}, booktitle = {Interdisciplinary Approaches to Transportation and Urban Planning}, 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 = {chapters}, 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:10.4018/979-8-3693-6695-0.ch002 Close
2023
18.	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, Dr. Jorge A. (Ed.): Management, Technology, and Economic Growth in Smart and Sustainable Cities, 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 = {Dr. 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}, 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 publisher 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 chapter 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 publisher 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 chapter 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
19.	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{cha2-23, 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 = {http://dx.doi.org/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 chapter 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. The authors 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 is 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 chapter 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 chapter 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. The authors 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 is 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 chapter can serve as a basis for experts' academic knowledge and professional practice in sensors and decision-makers. Close doi:http://dx.doi.org/10.4018/979-8-3693-0373-3.ch001 Close
2022
20.	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}, doi = {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 doi:https://doi.org/10.1016/B978-0-12-823694-9.00017-7 Close
21.	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/B978-0-12-823694-9.00014-1}, 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/B978-0-12-823694-9.00014-1 Close
22.	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
2019
23.	Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Ruiz-Jaimes, Miguel A.; Toledo-Navarro, Yadira; Lezama-León, Myrna; Lezama-León, Evangelina Chapter 18: Perishing Goods Transportation Problem: Fundamentals, Advances, and Applications Book Chapter In: Ortiz, Carlos Alberto Ochoa; Rivera-Zárate, Gilberto; Gómez-Santillán, Claudia Guadalupe; Sánchez-Lara, Benito (Ed.): Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities., pp. 315-338, IGI, 1, 2019, ISBN: 9781522581314. Abstract \| Links \| BibTeX \| Tags: chapters @inbook{bc18, title = {Chapter 18: Perishing Goods Transportation Problem: Fundamentals, Advances, and Applications}, author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara and Miguel A. Ruiz-Jaimes and Yadira Toledo-Navarro and Myrna Lezama-León and Evangelina Lezama-León}, editor = {Carlos Alberto Ochoa Ortiz and Gilberto Rivera-Zárate and Claudia Guadalupe Gómez-Santillán and Benito Sánchez-Lara }, doi = { 10.4018/978-1-5225-8131-4.ch018}, isbn = {9781522581314}, year = {2019}, date = {2019-01-07}, booktitle = {Handbook of Research on Metaheuristics for Order Picking Optimization in Warehouses to Smart Cities.}, pages = {315-338}, publisher = {IGI}, edition = {1}, abstract = {The smart transportation of farming must carry food from agriculture, livestock, and fisheries from one location to another using diverse types of transportation modes to improve the wellbeing of citizens. The mathematical optimization model proposed in this chapter represents the problem of transportation of perishable products which aims to minimize costs and optimize transportation times and costs. Reduction of the time of transportation of perishable products increases the likelihood of delivering fresh products and minimizes economic losses. Transportation time and temperature suitable for the conservation of the product are priorities in this type of problem because the product is transported in time reduces the probability that the product will be exposed to extreme conditions that favor its decomposition. To check the feasibility of the model, this study proposes a set of instances subject to an application obtained a series of solutions that are analyzed to identify if there is a feasible solution. }, keywords = {chapters}, pubstate = {published}, tppubtype = {inbook} } Close The smart transportation of farming must carry food from agriculture, livestock, and fisheries from one location to another using diverse types of transportation modes to improve the wellbeing of citizens. The mathematical optimization model proposed in this chapter represents the problem of transportation of perishable products which aims to minimize costs and optimize transportation times and costs. Reduction of the time of transportation of perishable products increases the likelihood of delivering fresh products and minimizes economic losses. Transportation time and temperature suitable for the conservation of the product are priorities in this type of problem because the product is transported in time reduces the probability that the product will be exposed to extreme conditions that favor its decomposition. To check the feasibility of the model, this study proposes a set of instances subject to an application obtained a series of solutions that are analyzed to identify if there is a feasible solution. Close doi: 10.4018/978-1-5225-8131-4.ch018 Close
2013
24.	Díaz-Parra, Ocotlán; Ruiz-Vanoye, Jorge A.; de los Buenabad-Arias, Ma. Ángeles; Canepa-Saenz, Ana Vertical Transfer Algorithm for the School Bus Routing Problem Book Chapter In: Gavrilova, Mariana L; Tan, Kenneth C J; Abraham, Ajith (Ed.): vol. 8160, pp. 211-229, Springer Berlin Heidelberg, 2013, ISBN: 978-3-642-45317-5. Links \| BibTeX \| Tags: chapters, School Bus Routing Problem @inbook{BC5, title = {Vertical Transfer Algorithm for the School Bus Routing Problem}, author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Ma. Ángeles de los Buenabad-Arias and Ana Canepa-Saenz}, editor = {Mariana L Gavrilova and Kenneth C J Tan and Ajith Abraham}, url = {https://doi.org/10.1007/978-3-642-45318-2_9}, doi = {10.1007/978-3-642-45318-2_9}, isbn = {978-3-642-45317-5}, year = {2013}, date = {2013-02-07}, volume = {8160}, pages = {211-229}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, keywords = {chapters, School Bus Routing Problem}, pubstate = {published}, tppubtype = {inbook} } Close https://doi.org/10.1007/978-3-642-45318-2_9 doi:10.1007/978-3-642-45318-2_9 Close
2010
25.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Pérez-Ortega, Joaquín; R., Rodolfo A. Pazos; Reyes-Salgado, Gerardo; González-Barbosa, Juan J. Complexity of Instances for Combinatorial Optimization Problems Book Chapter In: Ali, Al-Dahoud (Ed.): Chapter 19, pp. 319-330, IN-TECH Education and Publishing, 2010, ISBN: 978-953-7619-28-2. BibTeX \| Tags: chapters, Combinatorial Optimization Problems @inbook{BC4, title = {Complexity of Instances for Combinatorial Optimization Problems}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Joaquín Pérez-Ortega and Rodolfo A. Pazos R. and Gerardo Reyes-Salgado and Juan J. González-Barbosa}, editor = {Al-Dahoud Ali}, isbn = {978-953-7619-28-2}, year = {2010}, date = {2010-02-07}, pages = {319-330}, publisher = {IN-TECH Education and Publishing}, chapter = {19}, keywords = {chapters, Combinatorial Optimization Problems}, pubstate = {published}, tppubtype = {inbook} } Close
2008
26.	Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; N., Vanesa Landero A Metric to Discriminate the Selection of Algorithms for General Problem ATSP Book Chapter In: I., Lovrek; R.J., Howlett; L.C., Jain (Ed.): vol. 5177, pp. 106-113, Springer, Berlin, Heidelberg, 2008, ISBN: 978-3-540-85562-0. Abstract \| Links \| BibTeX \| Tags: Algorithms, chapters @inbook{BC1, title = {A Metric to Discriminate the Selection of Algorithms for General Problem ATSP}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Vanesa Landero N.}, editor = {Lovrek I. and Howlett R.J. and Jain L.C.}, url = {https://link.springer.com/chapter/10.1007%2F978-3-540-85563-7_19}, doi = {10.1007/978-3-540-85563-7_19}, isbn = {978-3-540-85562-0}, year = {2008}, date = {2008-02-07}, volume = {5177}, pages = {106-113}, publisher = {Springer, Berlin, Heidelberg}, series = {Lecture Notes in Computer Science}, abstract = {In this paper we propose: (1) the use of discriminant analysis as a means for predictive learning (data-mining techniques) aiming at selecting metaheuristic algorithms and (2) the use of a metric for improving the selection of the algorithms that best solve a given instance of the Asymmetric Traveling Salesman Problem (ATSP). The only metric that had existed so far to determine the best algorithm for solving an ATSP instance is based on the number of cities; nevertheless, it is not sufficiently adequate for discriminating the best algorithm for solving an ATSP instance, thus the necessity for devising a new metric through the use of data-mining techniques.}, keywords = {Algorithms, chapters}, pubstate = {published}, tppubtype = {inbook} } Close In this paper we propose: (1) the use of discriminant analysis as a means for predictive learning (data-mining techniques) aiming at selecting metaheuristic algorithms and (2) the use of a metric for improving the selection of the algorithms that best solve a given instance of the Asymmetric Traveling Salesman Problem (ATSP). The only metric that had existed so far to determine the best algorithm for solving an ATSP instance is based on the number of cities; nevertheless, it is not sufficiently adequate for discriminating the best algorithm for solving an ATSP instance, thus the necessity for devising a new metric through the use of data-mining techniques. Close https://link.springer.com/chapter/10.1007%2F978-3-540-85563-7_19 doi:10.1007/978-3-540-85563-7_19 Close
27.	Ruiz-Vanoye, Jorge A.; Zárate-Marceleño, José A.; Díaz-Parra, Ocotlán; N., Vanesa Landero Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for discriminate appropriately the best Algorithm Book Chapter In: vol. 5073, pp. 1131-1141, Springer, Berlin, Heidelberg, 2008, ISBN: 978-3-540-69840-1. Abstract \| Links \| BibTeX \| Tags: chapters, vehicle routing problem with time windows @inbook{BC2, title = {Applied Statistical Indicators to the Vehicle Routing Problem with Time Windows for discriminate appropriately the best Algorithm}, author = {Jorge A. Ruiz-Vanoye and José A. Zárate-Marceleño and Ocotlán Díaz-Parra and Vanesa Landero N.}, url = {https://link.springer.com/chapter/10.1007/978-3-540-69848-7_90}, doi = {10.1007/978-3-540-69848-7_90}, isbn = {978-3-540-69840-1}, year = {2008}, date = {2008-02-07}, volume = {5073}, pages = {1131-1141}, publisher = {Springer, Berlin, Heidelberg}, series = {Lecture Notes in Artificial Intelligence}, abstract = {In this paper, we propose indicators based on the position method of the descriptive statistic for the Vehicle Routing Problem with Time Windows (VRPTW). The indicators are based on the calculation of the median; they will serve altogether with the technique of discriminant analysis to select appropriately the algorithm that better solves an instance of the VRPTW.}, keywords = {chapters, vehicle routing problem with time windows}, pubstate = {published}, tppubtype = {inbook} } Close In this paper, we propose indicators based on the position method of the descriptive statistic for the Vehicle Routing Problem with Time Windows (VRPTW). The indicators are based on the calculation of the median; they will serve altogether with the technique of discriminant analysis to select appropriately the algorithm that better solves an instance of the VRPTW. Close https://link.springer.com/chapter/10.1007/978-3-540-69848-7_90 doi:10.1007/978-3-540-69848-7_90 Close

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