2025 |
|
1. | Ortiz-Suarez, Luis Arturo; Perez-Tellez, Fernando; Ruiz-Vanoye, Jorge A.; Trejo-Macotela, Francisco Rafael; Simancas-Acevedo, Eric; Flores, Jazmín Rodríguez; Diaz-Parra, Ocotlán; Liceaga-Ortiz-De-La-Peña, José M. Modelling and Comparison of Machine-Learning Algorithms for Energy Consumption Prediction in Smart Buildings Journal Article In: Computación y Sistemas, vol. 29, iss. 2, pp. 883–891, 2025, ISSN: 1405-5546. Abstract | Links | BibTeX | Tags: ESCI @article{esci4720251, One-third of global energy demand is attributed to consumption in buildings, with HVAC and lighting systems as the primary contributors. This study presents the development and comparison of several machine-learning algorithms for predicting energy consumption in a building simulated using EnergyPlus and following the Team Data Science Process (TDSP) methodology. Feature-selection techniques (feature selection and feature importance) were applied to identify the most influential variables. Five predictive models were trained: MLP, SVR, XGBoost, Random Forest and Keras Regressor. Results demonstrate that the MLP model achieved the highest accuracy, while XGBoost showed greater stability. Additionally, traditional statistical models (ARIMA and SARIMAX) were compared to machine-learning models for multi-horizon prediction. |
2. | Reyes-Hernández, Yaneth; Perez-Tellez, Fernando; Ruiz-Vanoye, Jorge A.; Rodríguez-Flores, Jazmín; Simancas-Acevedo, Eric; Diaz-Parra, Ocotlán; Aguilar-Ortiz, Jaime; Trejo-Macotela, Francisco R. Application of GANs to Augment the Mammography Repository Journal Article In: Computación y Sistemas, vol. 29, iss. 2, pp. 893–900, 2025, ISSN: 1405-5546. Abstract | Links | BibTeX | Tags: ESCI @article{esci4720252, Generative adversarial networks (GANs) offer an innovative approach to synthetic image generation. They have significantly impacted the creation of images that would otherwise be difficult to obtain. In this study, we examine several GAN architectures to determine whether they can generate synthetic mammography images to enrich an existing repository, thereby improving AI training for breast-cancer detection and supporting research into this disease with a more diverse dataset. |
3. | Hernández-Terrazas, Rubén O.; Xicoténcatl-Pérez, Juan M.; Ramos-Fernández, Julio C.; Ruíz-Vanoye, Jorge A.; Liceaga-Ortiz-De-La-Peña, José M. Development of an Autonomous Module for Weed Management in Agriculture Journal Article In: Computación y Sistemas, vol. 29, iss. 2, pp. 917–923, 2025, ISSN: 1405-5546. Abstract | Links | BibTeX | Tags: ESCI @article{esci4720253, In the state of Hidalgo, Mexico, agriculture faces critical challenges due to climate change, such as resource scarcity, while also striving to ensure food security. One of the most pressing issues in corn cultivation is inadequate weed management, which reduces productivity and increases production costs. This article proposes an autonomous system for weed detection and removal in corn fields, integrating artificial intelligence algorithms, real-time computer vision, and a robotic arm equipped with a laser and herbicide sprayer. Following a systematic review, the YOLOv8m model was selected for its real-time detection capabilities and its balance between accuracy and efficiency. The proposed system employs machine learning algorithms in Python, achieving over 80% accuracy in distinguishing corn plants from weeds. Preliminary results demonstrate precise weed control, reduced environmental impact, and feasibility of field integration with minimal human intervention. This project marks a significant advancement toward more efficient and sustainable precision agriculture. As future work, the hybrid tool will apply selective treatments based on the size and location of the weeds, further minimizing herbicide use. |
4. | Diaz-Parra, Ocotlan; Trejo-Macotela, Francisco R.; Ruiz-Vanoye, Jorge A.; Aguilar-Ortiz, Jaime; Ruiz-Jaimes, Miguel A.; Toledo-Navarro, Yadira; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Salgado-Ramírez, Julio C. Integrated Biomimetics: Natural Innovations for Urban Design, Smart Technologies and Human Health Journal Article In: Applied Sciences, vol. 15, iss. 13, pp. 7323, 2025, ISSN: 2076-3417. Abstract | Links | BibTeX | Tags: Papers in the Science Citation Index Expanded @article{25625, Biomimetics has emerged as a transformative interdisciplinary approach that harnesses nature’s evolutionary strategies to develop sustainable solutions across diverse fields. This study explores its integrative role in shaping smart cities, advancing artificial intelligence and robotics, innovating biomedical applications, and enhancing computational design tools. By analyzing the evolution of biomimetic principles and their technological impact, this work highlights how nature-inspired solutions contribute to energy efficiency, adaptive urban planning, bioengineered materials, and intelligent systems. Furthermore, the paper discusses future perspectives on Biomimetics -driven innovations, emphasizing their potential to foster resilience, efficiency, and sustainability in rapidly evolving technological landscapes. Particular attention is given to neuromorphic hardware, a biologically inspired computing paradigm that mimics neural processing through spike-based communication and analogue architectures. Key components such as memristors and neuromorphic processors enable adaptive, low-power, task-specific computation, with wide-ranging applications in robotics, AI, healthcare, and renewable energy systems. Furthermore, the paper analyses how self-organising cities, conceptualised as complex adaptive systems, embody biomimetic traits such as resilience, decentralised optimisation, and autonomous resource management. |
5. | Reyes, Yaneth; Ruiz-Vanoye, Jorge A.; Flores, Jazmín Rodriguez Generating medical images of breast cancer using generative artificial intelligence Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 266-274, 2025. Abstract | Links | BibTeX | Tags: ESCI @article{jcr56202513s, In this research work we review the fact that although there are different sets of databases with medical images of mammograms of breast cancer, these data are not really sufficient for the training of artificial intelligence systems to find signs of breast cancer in the images, so we propose the creation of new images that help to complement the data sets allowing better training in the systems that help the diagnosis of this disease. |
6. | Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Trejo-Macotela, Francisco R.; Barrera-Cámara, Ricardo A.; Fuentes-Penna, Alejandro Synthetic Love in the Digital Age: AI-Mediated Emotional Investment and Gendered Romantic Dependence Journal Article Forthcoming In: Behavioral and Brain Sciences, Forthcoming, ISSN: 0140-525X. Abstract | BibTeX | Tags: Papers in the Science Citation Index Expanded @article{jcr5620251, Digital technology has transformed romantic relationships, influencing men’s and women’s emotional investment differently. Drawing on ‘Romantic Relationships Matter More to Men than to Women’, this commentary examines how AI-driven dating, social and virtual platforms reshape partner search and mourning. It analyses synthetic lovefrom digital mediation to AI companions-arguing that these technologies may reinforce male emotional dependency and heighten post-break-up vulnerability. |
7. | Diaz-Parra, Ocotlán; Aguilar-Ortiz, Jaime; Ruiz-Vanoye, Jorge A.; Trejo-Macotela, Francisco R.; Bernábe-Loranca, María B. Optimising Water Management in Urban Ecosystems: A Holistic Model for the Sustainable Integration of Drinking Water, Rainwater and Wastewater Systems Journal Article Forthcoming In: Polish Journal of Environmental Studies, Forthcoming, ISSN: 1230-1485. Abstract | BibTeX | Tags: Papers in the Science Citation Index Expanded @article{jcr56202512, This paper presents a mathematical model for optimising the allocation of drinking, rain and recycled water in smart cities. Employing a genetic algorithm across various scenarios, the model achieves a marked improvement in urban water-use efficiency. The findings demonstrate the approach’s potential to inform sustainable water-management strategies, thereby advancing environmental conservation and resource sustainability in modern urban environments. |
8. | Liceaga-Ortiz-De-La-Peña, José M.; Ruiz-Vanoye, Jorge A.; Xicoténcatl-Pérez, Juan M.; Díaz-Parra, Ocotlán; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Robles-Camarillo, Daniel; Márquez-Vera, Marco A.; Trejo-Macotela, Francisco R.; Ortiz-Suárez, Luis A. Advancing Smart Energy: A Review for Algorithms Enhancing Power Grid Reliability and Efficiency Through Advanced Quality of Energy Services Journal Article In: Energies, vol. 18, iss. 12, pp. 3094, 2025, ISSN: 1996-1073. Abstract | Links | BibTeX | Tags: Papers in the Science Citation Index Expanded @article{jcr56202513, The transformation of traditional energy systems into smart energy systems has ushered in an era of efficiency, sustainability and technological growth. In this paper, we propose a new definition for “Quality of Energy Service” that focuses on ensuring optimal power-supply quality, encompassing factors such as availability, speed (i.e., the time to restore or adjust supply following interruptions or load changes) and reliability of sup-ply. We explore the integration of advanced algorithms specifically tailored to enhance the Quality of Energy Services. By concentrating on key aspects—reliability, availability and operational efficiency—the study reviews how various algorithmic approaches, from machine learning models to classical optimisation techniques, can significantly improve power grid management. These algorithms are evaluated for their potential to optimise load distribution, predict system failures and manage real-time adjustments in power supply, thereby ensuring higher service quality and grid stability. The findings aim to provide actionable insights for policymakers, engineers and industry stakeholders seeking to advance smart grid technologies and meet global energy standards. Fur-thermore, we present a case study to demonstrate how these models can be integrated to optimise grid management, forecast energy demand and enhance operational efficiency. We employ multiple machine learning models—including Random Forest, XGBoost version 1.6.1 and Long Short-Term Memory (LSTM) networks—to predict future energy demand. These models are then combined within an ensemble learning framework to improve both the accuracy and robustness of the forecasts. Our ensemble framework not only predicts energy consumption but also optimises battery storage utilisation, ensuring continuous energy availability and reducing reliance on external energy sources. The proposed stacking ensemble achieved a forecasting accuracy of 99.06%, with a Mean Absolute Percentage Error (MAPE) of 0.9364% and a Coefficient of Determination (R2) of 0.998345, highlighting its superior performance compared to each individual base model. |
9. | Ruiz-Vanoye, Jorge A.; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Díaz-Parra, Ocotlán; Trejo-Macotela, Francisco R.; Gómez-Pérez, Luis José; Aguilar-Ortiz, Jaime; Ruiz-Jaimes, Miguel Á.; Toledo-Navarro, Yadira; de Pachuca, Carlos R. Domínguez Mayorga Universidad Politécnica Artificial Intelligence and Human Well-Being: A Review of Applications and Effects on Life Satisfaction through Synthetic Happiness Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 14–37, 2025, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: ESCI @article{jcr8620256, This paper examines the role of Artificial Intelligence in enhancing human well-being across domains such as healthcare, mental health, and education. A key contribution is the introduction of synthetic happiness—a form of well-being facilitated or enhanced by AI rather than naturally occurring processes. By reviewing current advancements, the study highlights AI’s positive impact on life satisfaction while addressing ethical concerns and potential drawbacks. The paper explores AI’s role in personalised healthcare, mental health support, and adaptive education, demonstrating how it fosters environments conducive to happiness. It further analyses synthetic happiness as a novel perspective on AI-driven well-being, discussing its benefits and risks, including reduced human interaction and over-reliance on artificial systems. While AI presents transformative opportunities to enhance happiness, it must complement rather than replace genuine human experiences. This paper provides a foundation for understanding AI’s role in well-being and offers insights for future research and applications. |
10. | Silos-Sanchez, Joel; Rodríguez-Flores, Jazmin; Martínez-Mireles, Josué; García-Márquez, Marco; Austria-Cornejo, Arturo; Ruiz-Vanoye, Jorge A. Comparison between FRQI and NEQR quantum algorithms applied in digital image processing Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 213–225, 2025, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: ESCI @article{jcr8620252, Quantum image processing represents a transformative approach to visual data analysis, leveraging the principles of quantum computing to overcome classical limitations. This work explores two prominent quantum image encoding methods: FRQI (Flexible Representation of Quantum Images) and NEQR (Novel Enhanced Quantum Representation). FRQI excels in qubit efficiency, making it suitable for hardware implementation, while NEQR offers superior precision in pixel intensity representation, ideal for complex image processing tasks. We detail the implementation of these algorithms, including preprocessing, quantum circuit design, and simulation, using platforms like Qiskit. The study highlights the potential of quantum image processing in fields such as medicine, industry, and environmental monitoring, while addressing challenges like qubit limitations and noise sensitivity. This research contributes to advancing quantum computing applications, paving the way for innovative and sustainable technological solutions. |
11. | Ruiz-Jaimes, Miguel Ángel; Ruiz-Vanoye, Jorge A.; Flores-Sedano, Juan José; Toledo-Navarro, Yadira Design and implementation of a wireless network with mechanisms that do not violate security to meet the demand of higher education institutions Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 2, pp. 123–129, 2025, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: CONAHCYT, ESCI @article{jcr8620251, At the Autonomous University the current wireless network infrastructure is insufficient to meet the growing demand for access, causing failures and intermittencies in the service. Faced with this problem, a thesis proposal has been developed to implement a modern wireless network with high user density, centralized management and improved security schemes. The proposed methodology for the implementation of a high-density wireless network in a higher education institution. In conclusion, the project made it possible to comply with the hypothesis proposed since the implementation of a robust wireless network, with adequate levels of security and profile management, facilitated the ubiquitous access of online academic resources by the student and teaching community of the university. This translates into support for educational quality. |
12. | Hernández-Terrazas, Rubén Oswaldo; Xicoténcatl-Pérez, Juan; Ruiz-Vanoye, Jorge A. Weeding Robots Current Jobs and Perspectives Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 202–207, 2025, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: ESCI @article{jcr8620253, Precision agriculture has revolutionised the way farmers manage their crops, maximising efficiency and minimising environmental impact. This thesis addresses the design and implementation of a device that identifies the corn plant and with the help of artificial intelligence implement a robotic arm that delivers herbicides and in some cases precision lasers. We will explore the design and control of a precision farming device, from basic principles to the most advanced technologies currently in use. We will analyse the sensorisation tools, control systems and optimisation techniques employed to ensure a more sustainable and profitable agriculture through: precision identification of maize plants and the use of a robotic mechanical arm equipped with two nozzles, one to deliver herbicide and the other to deliver lasers to the weeds surrounding the maize plants. The proposal aims for the expected results to reduce herbicide consumption by 30-50%, validating the feasibility of this scalable and sustainable solution to improve efficiency in agricultural infrastructures. |
13. | de La Peña, José Miguel Liceaga Ortiz; Xicoténcatl-Pérez, Juan; Ruiz-Vanoye, Jorge A. Smart Energy Efficiency: Energy Management System in Smart Buildings based on Voting Ensemble and battery bank Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 208–212, 2025, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: ESCI @article{jcr8620254, Energy management in smart buildings requires strategies to improve power consumption, ensuring reliability and cost reduction. This thesis addresses the solution of the problem by implementing a predictive model based on an artificial intelligence technique working in conjunction with a proposed battery bank in order to better store energy and mitigate the high peaks of electricity demand in different periods as well as in atypical scenarios. The research addresses two aspects: accuracy in consumption prediction, and energy management, the latter including energy storage efficiency and mitigating high peak power consumption. The proposal aims for the expected results to reduce electricity consumption by 3% to 7%, validating the viability of this scalable and sustainable solution to improve energy efficiency in smart infrastructures. |
14. | Ortiz-Suarez, Luis Arturo; Vanoye, Jorge A. Ruiz; Trejo-Macotela, Francisco R. Optimizing Energy Consumption in Smart Buildings by Using Machine Learning Algorithms Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 258–265, 2025, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: ESCI @article{jcr8620255, In this article, an approach for optimizing energy consumption in smart buildings using machine learning algorithms is presented. Utilizing TDSP, data on climatic conditions, occupancy, and energy consumption obtained from EnergyPlus software are integrated. Feature selection and feature importance techniques, as well as statistical analyses, are implemented to select variables that are used to train machine learning models such as MLP neural networks, support vector machines, random forest, and XGBRegressor for predicting energy consumption, with accuracy evaluated using RMSE. It was demonstrated that models based on neural networks offer better accuracy, thereby enabling measures to achieve energy optimization. |
15. | 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, 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. |
16. | 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, 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. |
17. | 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, 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. |
18. | 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, 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. |
19. | 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, 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. |
20. | 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. 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, 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. |
21. | Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Ramos-Fernández, Julio C.; Xicoténcatl-Pérez, Juan; Aguilar-Ortiz, Jaime; Marroquín-Gutiérrez, Francisco; Salgado-Ramírez, Julio C. 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, 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. |
22. | 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, 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. |
23. | Ruiz-Vanoye, Jorge A.; Diaz-Parra, Ocotlan Revolutionizing Pedagogy Through Smart Education Book IGI Global, 2025, ISBN: 9798369377932. Links | BibTeX | Tags: Research Books @book{book1142024, |
24. | 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, 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. |
25. | Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Márquez-Vera, Marco A.; Fuentes-Penna, Alejandro; Barrera-Cámara, Ricardo A.; Ruiz-Jaimes., Miguel A.; Toledo-Navarro, Yadira; Bernábe-Loranca, MarÍa 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, 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. |
26. | Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Márquez-Vera, Marco A.; 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, ISSN: 2073-8994. Abstract | Links | BibTeX | Tags: Bio-Medicina, Papers in the Science Citation Index Expanded @article{JA25125, This 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. |
2024 |
|
27. | Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlán; Marroquín-Gutiérrez, Francisco; Xicoténcatl-Pérez, Juan M.; Barrera-Cámara, Ricardo A.; Fuentes-Penna, Alejandro; Simancas-Acevedo, Eric; Rodríguez-Flores, Jazmín; Martínez-Mireles, Josue R. Brain Data Security and Neurosecurity: Technological advances, Ethical dilemmas, and Philosophical perspectives Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 5, pp. 17–35, 2024, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: ESCI @article{jcr8620257, The rapid development in neurotechnology has significantly advanced our ability to understand and manipulate brain functions. However, these advancements have raised critical concerns regarding the security and privacy of brain data. This paper aims to explore the multifaceted issues surrounding the protection of brain data, focusing on neurosecurity. We begin by reviewing the current technological landscape, focusing on methods used to secure brain data, including encryption, authentication protocols, and anonymisation techniques. Drawing parallels with established computer security practices, we highlight both the strengths and limitations of these approaches when applied to neural data. Next, we delve into the ethical dilemmas posed by brain data security. Issues such as mental privacy and informed consent are analysed. The implications of unauthorised access to brain data and the misuse of such data in various contexts, including criminal justice, employment, and military applications, are discussed in detail. Furthermore, we examine the philosophical perspectives on brain data security, particularly concerning personal identity, autonomy, and freedom of thought. We explore how the manipulation and protection of brain data intersect with longstanding debates in ethics and philosophy, proposing frameworks for addressing these challenges. By combining a technological review with an ethical and philosophical analysis, this paper aims to provide a comprehensive understanding of neurosecurity and brain data security. We conclude with recommendations for future research and policy development to ensure the ethical and responsible use of brain data, emphasising the need for robust governance frameworks that protect individual rights while fostering technological innovation. |
28. | 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, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: CONAHCYT, ESCI @article{journal11424, 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. |
29. | 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: CONAHCYT, ESCI @article{journal114242, 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. |
30. | 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, 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. |
31. | 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, iss. 3, pp. 1-3, 2024, ISSN: 1558-2024. Abstract | Links | BibTeX | Tags: CONAHCYT, ESCI @article{paper143, 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. |
32. | Sánchez-Partida, Diana; Bernábe-Loranca, MarÍa Beatriz; Ruiz-Vanoye, Jorge A.; Barrera-Cámara, Ricardo A. In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 3, pp. 28-42, 2024, ISSN: 1558-2024. Abstract | Links | BibTeX | Tags: CONAHCYT, ESCI @article{paper144, Cluster of Vulnerable Municipalities in Mexico to facilitate the Creation of Coordination Mechanisms in the Humanitarian Responses through Machine Learning Techniques. Coordination among actors in the supply chain is essential for ensuring a well-organized, efficient, and effective response to humanitarian crises, ultimately leading to better outcomes for those affected by disasters. Effective coordination ensures that resources, information, and aid are distributed efficiently and promptly to those in need during humanitarian crises. It also helps optimize resource allocation, prevent duplication of efforts, and ensure that aid reaches the right places at the right time. It supports identifying and mitigating risks in the supply chain, such as delays, bottlenecks, or disruptions, which can impact aid delivery. Coordination fosters better communication among stakeholders, enabling them to share information, collaborate on solutions, and make informed decisions. Precise coordination mechanisms help establish accountability among actors, ensuring that responsibilities are defined, monitored, and fulfilled. This document proposes an efficient logistics system capable of providing aid in a rapid and coordinated manner through unsupervised learning and a medoid partitioning algorithm called PAM (Partitioning Around Medoids) that achieves a global optimum for grouping the vulnerable municipalities of Mexico using INECC data. In addition, the PAM algorithm was compared with the P-Median to check the efficiency of the global optimum. |
33. | García-Márquez, Marco A.; Martínez-Mireles, Josue R.; Rodríguez-Flores, Jazmín; Austria-Cornejo, Arturo; Ruiz-Vanoye, Jorge A. 2D23D: 3D images from 2D images using statistical filters and color shading Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 3, pp. 115–125, 2024, ISSN: 1558-2024. Abstract | Links | BibTeX | Tags: CONAHCYT, ESCI @article{paper145, Below is the development of an algorithm that allows generating 3D models from 2D images for analysis and visualization, with an application focused on images from the health and space sectors, domains chosen for their contrast characteristics. The characteristics used in the project are presented and determined, as well as 3D programming and visualization environment tools that allow the generation of voxel depth, as well as the management of image formats from the medical or spatial sector, including the results obtained with images. from both sectors, from which the 3D models were created. |
34. | 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{paper146, 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. |
35. | Campero-Jurado, Israel; Robles-Camarillo, Daniel; Ruiz-Vanoye, Jorge A.; 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, ISSN: 2227-7390. Abstract | Links | BibTeX | Tags: Papers in the Science Citation Index Expanded @article{jj1234, 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. |
36. | 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, iss. 1, pp. 39–50, 2024, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: CONAHCYT, ESCI @article{J24-1-1, 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. |
37. | Ruiz-Jaimes, Miguel Á.; Gabriel-Romero, Maria Arely; Morales-López, Rodrigo Alejandro; Toledo-Navarro, Yadira; Ruiz-Vanoye, Jorge A.; Díaz-Parra, Ocotlan; Aguilar-Ortiz, Jaime 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, iss. 1, pp. 86–100, 2024, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: CONAHCYT, ESCI @article{J24-1-2, 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. |
2023 |
|
38. | 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, 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. |
39. | 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, 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. |
40. | Ruiz-Vanoye, Jorge A. Management, Technology, and Economic Growth in Smart and Sustainable Cities Book IGI Global, 2023, ISBN: 9798369303733. Links | BibTeX | Tags: Research Books @book{book23, |
41. | Ruiz-Jaimes, Miguel Ángel; Alarcón-Álvarez, Jorge; Flores-Sedano, Juan José; Ruiz-Vanoye, Jorge A.; Toledo-Navarro, Yadira; Simancas-Acevedo, Eric; Trejo-Macotela, Francisco Rafael; Vera-Jiménez, Marco Antonio Classification of Cardiac Arrhythmias Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 14, iss. 3, pp. 3-15, 2023, ISSN: 2007-1558. Abstract | Links | BibTeX | Tags: CONAHCYT, ESCI @article{jj123, Cardiovascular diseases (CVD) are one of the leading causes of mortality worldwide. In this context, the design of accurate and efficient methods for the automated classification of electrocardiogram (ECG) signals is essential for clinical diagnosis, particularly in the detection of cardiac arrhythmias. The main objective of this project is to develop an automated classification system for cardiac arrhythmias using electrocardiogram signals. To carry out this project, the iterative cascade methodology was used, which allows modifications and improvements to be made in each development iteration. The interview technique was used to collect the project requirements, which allowed obtaining detailed and precise information on the needs and expectations of the client. |
42. | 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, 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). |
43. | 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; Flores, Porfirio Espejel 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, 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. |
44. | Fuentes-Penna, Alejandro; Díaz-Parra, Ocotlán; de D. González-Ibarra, Juan; Flores, Porfirio Espejel; 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, 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. |
2022 |
|
45. | 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{jour20221, |
46. | 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, 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. |
47. | 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, 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. |
48. | 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, 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. |
49. | 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, 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. |
2021 |
|
50. | Milenio, Diario (Ed.) Cerebro conectado al Internet y neuroderechos Periodical 2021, visited: 11.01.2021. Links | BibTeX | Tags: Divulgation @periodical{Pe2, |
Publications
2025 |
|
1. | Modelling and Comparison of Machine-Learning Algorithms for Energy Consumption Prediction in Smart Buildings Journal Article In: Computación y Sistemas, vol. 29, iss. 2, pp. 883–891, 2025, ISSN: 1405-5546. |
2. | Application of GANs to Augment the Mammography Repository Journal Article In: Computación y Sistemas, vol. 29, iss. 2, pp. 893–900, 2025, ISSN: 1405-5546. |
3. | Development of an Autonomous Module for Weed Management in Agriculture Journal Article In: Computación y Sistemas, vol. 29, iss. 2, pp. 917–923, 2025, ISSN: 1405-5546. |
4. | Integrated Biomimetics: Natural Innovations for Urban Design, Smart Technologies and Human Health Journal Article In: Applied Sciences, vol. 15, iss. 13, pp. 7323, 2025, ISSN: 2076-3417. |
5. | Generating medical images of breast cancer using generative artificial intelligence Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 266-274, 2025. |
6. | Synthetic Love in the Digital Age: AI-Mediated Emotional Investment and Gendered Romantic Dependence Journal Article Forthcoming In: Behavioral and Brain Sciences, Forthcoming, ISSN: 0140-525X. |
7. | Optimising Water Management in Urban Ecosystems: A Holistic Model for the Sustainable Integration of Drinking Water, Rainwater and Wastewater Systems Journal Article Forthcoming In: Polish Journal of Environmental Studies, Forthcoming, ISSN: 1230-1485. |
8. | Advancing Smart Energy: A Review for Algorithms Enhancing Power Grid Reliability and Efficiency Through Advanced Quality of Energy Services Journal Article In: Energies, vol. 18, iss. 12, pp. 3094, 2025, ISSN: 1996-1073. |
9. | Artificial Intelligence and Human Well-Being: A Review of Applications and Effects on Life Satisfaction through Synthetic Happiness Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 14–37, 2025, ISSN: 2007-1558. |
10. | Comparison between FRQI and NEQR quantum algorithms applied in digital image processing Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 213–225, 2025, ISSN: 2007-1558. |
11. | Design and implementation of a wireless network with mechanisms that do not violate security to meet the demand of higher education institutions Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 2, pp. 123–129, 2025, ISSN: 2007-1558. |
12. | Weeding Robots Current Jobs and Perspectives Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 202–207, 2025, ISSN: 2007-1558. |
13. | Smart Energy Efficiency: Energy Management System in Smart Buildings based on Voting Ensemble and battery bank Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 208–212, 2025, ISSN: 2007-1558. |
14. | Optimizing Energy Consumption in Smart Buildings by Using Machine Learning Algorithms Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 1, pp. 258–265, 2025, ISSN: 2007-1558. |
15. | Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals Book IGI Global, 2025, ISBN: 9798369381618. |
16. | 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. |
17. | 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. |
18. | Smart Water Technology for Sustainable Management in Modern Cities Book IGI Global, 2025, ISBN: 9798369380741. |
19. | 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. |
20. | 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. |
21. | 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. |
22. | 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. |
23. | Revolutionizing Pedagogy Through Smart Education Book IGI Global, 2025, ISBN: 9798369377932. |
24. | Fundamentals of Smart Education Book Chapter In: Revolutionizing Pedagogy Through Smart Education, Chapter 1, pp. 1-18, IGI Global, 2025, ISBN: 9798369377932. |
25. | A Comprehensive Review of Quality of Aquaculture Services in Integrated Multi-Trophic Systems Journal Article In: Fishes, vol. 10, no. 2, pp. 54, 2025. |
26. | Symmetry in Genetic Distance Metrics: Quantifying Variability in Neurological Disorders for Personalized Treatment of Alzheimer’s and Dementia Journal Article In: Symmetry, 2025, ISSN: 2073-8994. |
2024 |
|
27. | Brain Data Security and Neurosecurity: Technological advances, Ethical dilemmas, and Philosophical perspectives Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 5, pp. 17–35, 2024, ISSN: 2007-1558. |
28. | 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, ISSN: 2007-1558. |
29. | 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. |
30. | 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. |
31. | 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, iss. 3, pp. 1-3, 2024, ISSN: 1558-2024. |
32. | In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 3, pp. 28-42, 2024, ISSN: 1558-2024. |
33. | 2D23D: 3D images from 2D images using statistical filters and color shading Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 15, iss. 3, pp. 115–125, 2024, ISSN: 1558-2024. |
34. | 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. |
35. | 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, ISSN: 2227-7390. |
36. | 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, iss. 1, pp. 39–50, 2024, ISSN: 2007-1558. |
37. | 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, iss. 1, pp. 86–100, 2024, ISSN: 2007-1558. |
2023 |
|
38. | 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. |
39. | 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. |
40. | Management, Technology, and Economic Growth in Smart and Sustainable Cities Book IGI Global, 2023, ISBN: 9798369303733. |
41. | Classification of Cardiac Arrhythmias Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 14, iss. 3, pp. 3-15, 2023, ISSN: 2007-1558. |
42. | 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. |
43. | 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. |
44. | 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. |
2022 |
|
45. | 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. |
46. | 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. |
47. | 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. |
48. | 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. |
49. | 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. |
2021 |
|
50. | Cerebro conectado al Internet y neuroderechos Periodical 2021, visited: 11.01.2021. |