Publications

2025
1.	Ramírez-Hernández, Uriel A.; Trejo-Macotela, Francisco R.; Robles-Camarillo, Daniel; Ruiz-Vanoye, Jorge A.; Simancas-Acevedo, Eric; Ortega-Palacios, Rocío; Ramos-Fernández, Julio C. Detection of Silent Water Leaks in Household Using Artificial Intelligence Methods Journal Article In: Computación y Sistemas, vol. 29, iss. 3, pp. 1833–1843, 2025, ISSN: 2007-9737. Abstract \| Links \| BibTeX \| Tags: CONAHCYT @article{jcr2510263, title = {Detection of Silent Water Leaks in Household Using Artificial Intelligence Methods}, author = {Uriel A. Ramírez-Hernández and Francisco R. Trejo-Macotela and Daniel Robles-Camarillo and Jorge A. Ruiz-Vanoye and Eric Simancas-Acevedo and Rocío Ortega-Palacios and Julio C. Ramos-Fernández}, doi = {10.13053/CyS-29-3-5801}, issn = {2007-9737}, year = {2025}, date = {2025-10-01}, urldate = {2025-10-01}, journal = {Computación y Sistemas}, volume = {29}, issue = {3}, pages = {1833–1843}, abstract = {Water losses in distribution systems constitute a significant global challenge, undermining water resource sustainability, increasing operational costs, and threatening the water security of millions. In Latin America, up to 40% of treated water is reportedly lost due to leaks, ruptures, and defective connections (Xylem, 2025). At the household level, silent leaks—particularly in toilet flushing systems—can waste over 37,850 litres annually per dwelling (US EPA, 2024). Various international studies have addressed early leak detection using intelligent systems. In Europe, wireless sensor networks and machine learning models such as Random Forest, Support Vector Machines, and neural networks have been deployed for anomaly detection in urban networks. Asian research has demonstrated detection accuracies exceeding 97% through convolutional neural networks trained on acoustic and vibrational signals, enhanced by contrastive learning to address data scarcity. Hybrid approaches combining hydraulic modelling with AI have been applied in the Middle East and China, whereas logic-based and anomaly detection algorithms have been integrated into real-time platforms in Australia and Canada. Sensor placement optimisation via graph partitioning has further improved coverage efficiency. Despite their effectiveness, these solutions often require substantial investment and advanced infrastructure, limiting their applicability in resource-constrained environments. This study proposes a cost-effective, perceptron-based model for detecting silent leaks in household toilets, integrated within an Internet of Things (IoT) framework. The system employs a Hall-effect flow sensor to capture high-resolution filling-time and pulse-count data, processed through supervised learning to discriminate between normal consumption and leakage. Experimental results under real-use conditions achieved 98% classification accuracy, demonstrating both technical feasibility and operational suitability. This approach offers a practical, computationally efficient solution for domestic contexts in Latin America, enabling real-time monitoring and immediate user alerts, thus supporting water conservation efforts through accessible intelligent detection.}, keywords = {CONAHCYT}, pubstate = {published}, tppubtype = {article} } Close Water losses in distribution systems constitute a significant global challenge, undermining water resource sustainability, increasing operational costs, and threatening the water security of millions. In Latin America, up to 40% of treated water is reportedly lost due to leaks, ruptures, and defective connections (Xylem, 2025). At the household level, silent leaks—particularly in toilet flushing systems—can waste over 37,850 litres annually per dwelling (US EPA, 2024). Various international studies have addressed early leak detection using intelligent systems. In Europe, wireless sensor networks and machine learning models such as Random Forest, Support Vector Machines, and neural networks have been deployed for anomaly detection in urban networks. Asian research has demonstrated detection accuracies exceeding 97% through convolutional neural networks trained on acoustic and vibrational signals, enhanced by contrastive learning to address data scarcity. Hybrid approaches combining hydraulic modelling with AI have been applied in the Middle East and China, whereas logic-based and anomaly detection algorithms have been integrated into real-time platforms in Australia and Canada. Sensor placement optimisation via graph partitioning has further improved coverage efficiency. Despite their effectiveness, these solutions often require substantial investment and advanced infrastructure, limiting their applicability in resource-constrained environments. This study proposes a cost-effective, perceptron-based model for detecting silent leaks in household toilets, integrated within an Internet of Things (IoT) framework. The system employs a Hall-effect flow sensor to capture high-resolution filling-time and pulse-count data, processed through supervised learning to discriminate between normal consumption and leakage. Experimental results under real-use conditions achieved 98% classification accuracy, demonstrating both technical feasibility and operational suitability. This approach offers a practical, computationally efficient solution for domestic contexts in Latin America, enabling real-time monitoring and immediate user alerts, thus supporting water conservation efforts through accessible intelligent detection. Close doi:10.13053/CyS-29-3-5801 Close
2.	Salas-López, Julio C.; Zarazúa-Silva, Juvencio S.; Ruiz-Vanoye, Jorge A.; Simancas-Acevedo, Eric; Salgado-Ramírez, Julio C.; Díaz-Parra, Ocotlán Prediction of PM10, SO2, NO2, O3, and CO Concentrations in Guadalajara Using ARIMA and Open Data with Python Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 3, pp. 23-35, 2025, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{22720251, title = {Prediction of PM10, SO2, NO2, O3, and CO Concentrations in Guadalajara Using ARIMA and Open Data with Python}, author = {Julio C. Salas-López and Juvencio S. Zarazúa-Silva and Jorge A. Ruiz-Vanoye and Eric Simancas-Acevedo and Julio C. Salgado-Ramírez and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.61467/2007.1558.2025.v16i3.1114}, issn = {2007-1558}, year = {2025}, date = {2025-07-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {16}, issue = {3}, pages = {23-35}, abstract = {Air quality in Guadalajara has deteriorated in recent years, becoming a serious health concern for the local population. In response, this project seeks to mitigate the impact of pollution by developing a prediction platform based on ARIMA models implemented in Python. The system will analyse historical pollutant levels—including PM₂.₅, PM₁₀, SO₂, NO₂, O₃ and CO—enabling the anticipation of high-pollution episodes. Armed with this information, both citizens and authorities will be able to take timely preventative measures. Given the growing interest in air quality and its implications for health, this tool will furnish valuable data for informed decision-making. Moreover, it will facilitate trend analysis and permit short-term forecasts, helping to identify potential pollution episodes before they occur.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close Air quality in Guadalajara has deteriorated in recent years, becoming a serious health concern for the local population. In response, this project seeks to mitigate the impact of pollution by developing a prediction platform based on ARIMA models implemented in Python. The system will analyse historical pollutant levels—including PM₂.₅, PM₁₀, SO₂, NO₂, O₃ and CO—enabling the anticipation of high-pollution episodes. Armed with this information, both citizens and authorities will be able to take timely preventative measures. Given the growing interest in air quality and its implications for health, this tool will furnish valuable data for informed decision-making. Moreover, it will facilitate trend analysis and permit short-term forecasts, helping to identify potential pollution episodes before they occur. Close doi:https://doi.org/10.61467/2007.1558.2025.v16i3.1114 Close
3.	Gaspar-Vargas, Luis E.; Torres-Calva, Karla A.; Ruiz-Vanoye, Jorge A.; Parra, Ocotlán Díaz; Simancas-Acevedo, Eric; Salgado-Ramirez, Julio C. Software Development for Brain Glioma Detection Using Magnetic Resonance Imaging and Deep Learning Techniques Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 16, iss. 3, pp. 1-10, 2025, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{ESCI22720252, title = {Software Development for Brain Glioma Detection Using Magnetic Resonance Imaging and Deep Learning Techniques}, author = {Luis E. Gaspar-Vargas and Karla A. Torres-Calva and Jorge A. Ruiz-Vanoye and Ocotlán Díaz Parra and Eric Simancas-Acevedo and Julio C. Salgado-Ramirez}, doi = {https://doi.org/10.61467/2007.1558.2025.v16i3.1132}, issn = {2007-1558}, year = {2025}, date = {2025-07-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {16}, issue = {3}, pages = {1-10}, abstract = {The detection of brain gliomas is a crucial clinical challenge that requires early, accurate diagnostic methods to improve patient outcomes. This work presents the development of a deep learning-based system for glioma detection, employing an ensemble of ResNet18, VGG16, and DenseNet121 models trained with MRI images. The preprocessing involved dataset curation, image normalisation, and mask generation through K-means clustering. The trained model was integrated into a web application, allowing users to upload images and receive immediate diagnostic feedback. Experimental results demonstrate promising accuracy rates and reliable segmentation performance. This research highlights the potential of artificial intelligence (AI) to augment traditional medical imaging techniques and assist clinical diagnosis.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The detection of brain gliomas is a crucial clinical challenge that requires early, accurate diagnostic methods to improve patient outcomes. This work presents the development of a deep learning-based system for glioma detection, employing an ensemble of ResNet18, VGG16, and DenseNet121 models trained with MRI images. The preprocessing involved dataset curation, image normalisation, and mask generation through K-means clustering. The trained model was integrated into a web application, allowing users to upload images and receive immediate diagnostic feedback. Experimental results demonstrate promising accuracy rates and reliable segmentation performance. This research highlights the potential of artificial intelligence (AI) to augment traditional medical imaging techniques and assist clinical diagnosis. Close doi:https://doi.org/10.61467/2007.1558.2025.v16i3.1132 Close
4.	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, title = {Design and implementation of a wireless network with mechanisms that do not violate security to meet the demand of higher education institutions}, author = {Miguel Ángel Ruiz-Jaimes and Jorge A. Ruiz-Vanoye and Juan José Flores-Sedano and Yadira Toledo-Navarro}, doi = {https://doi.org/10.61467/2007.1558.2025.v16i1.419}, issn = {2007-1558}, year = {2025}, date = {2025-06-02}, urldate = {2025-06-02}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {16}, issue = {2}, pages = {123–129}, abstract = {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.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close 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. Close doi:https://doi.org/10.61467/2007.1558.2025.v16i1.419 Close
2024
5.	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, title = {Real-Time Coordination and Communication Process for the Issuance of Emergency Ambulance Alerts}, author = {Evelyn V. Tafoya-Rivera and Ocotlán Díaz-Parra and Marco A. Márquez-Vera and Jorge A. Ruiz-Vanoye and Julio C . Ramos-Fernández and José G. Benítez-Morales and Eduardo Hernández-Huerta }, doi = {https://doi.org/10.61467/2007.1558.2024.v15i4.535}, issn = {2007-1558}, year = {2024}, date = {2024-11-01}, urldate = {2024-11-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {4}, pages = {101-117}, abstract = {The lack of attention to emergency alerts in road accidents in a timely manner may be due to the lack of management of resources or the lack of communication between hospital and patrol departments. The purpose of this research is to reduce the management time to provide attention to requests on highways. An alert and resource management process is proposed. This process will allow sending the optimized information in the shortest possible time. The experimentation was worked with a set of test instances and simulated in the laboratory using mechatronic devices to show the communication, coordination and attention in real time. The results obtained were acceptable, it was possible to identify the alert to be included in the algorithm which must comply with the restrictions and subsequently calculate the optimal route to be followed by the mechatronic device to reach the request node for the attention of the distress alert.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The lack of attention to emergency alerts in road accidents in a timely manner may be due to the lack of management of resources or the lack of communication between hospital and patrol departments. The purpose of this research is to reduce the management time to provide attention to requests on highways. An alert and resource management process is proposed. This process will allow sending the optimized information in the shortest possible time. The experimentation was worked with a set of test instances and simulated in the laboratory using mechatronic devices to show the communication, coordination and attention in real time. The results obtained were acceptable, it was possible to identify the alert to be included in the algorithm which must comply with the restrictions and subsequently calculate the optimal route to be followed by the mechatronic device to reach the request node for the attention of the distress alert. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i4.535 Close
6.	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, title = {Artificial Intelligences in Industrial Robots: A Framework Based on Gardner’s Multiple Intelligences}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Alejandro Fuentes-Penna and Eric Simancas-Acevedo and Ricardo A. Barrera-Cámara }, doi = {https://doi.org/10.61467/2007.1558.2024.v15i4.536}, issn = {2007-1558}, year = {2024}, date = {2024-11-01}, urldate = {2024-11-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {4}, pages = {118-129}, abstract = {Industrial robots, both in manufacturing and non-manufacturing sectors, are evolving rapidly, driven by advancements in artificial intelligence (AI). This paper presents a comprehensive survey of industrial robots, framed through the lens of Howard Gardner’s theory of multiple intelligences. By categorising various AI capabilities in industrial robots—such as visual recognition, decision-making, and collaborative interaction—based on Gardner’s intelligence framework, we provide a novel taxonomy that bridges human cognitive abilities and artificial systems. The survey explores the historical development of industrial robots, the current state of AI implementation, and future trends in robotics. Additionally, we discuss the implications of these advancements for industries and their workforce, as well as the ethical considerations surrounding the growing autonomy of AI systems. This paper aims to serve as a reference point for researchers and professionals seeking to understand the intersection of cognitive science and industrial AI, highlighting the potential and challenges of integrating AI into robotic systems.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close Industrial robots, both in manufacturing and non-manufacturing sectors, are evolving rapidly, driven by advancements in artificial intelligence (AI). This paper presents a comprehensive survey of industrial robots, framed through the lens of Howard Gardner’s theory of multiple intelligences. By categorising various AI capabilities in industrial robots—such as visual recognition, decision-making, and collaborative interaction—based on Gardner’s intelligence framework, we provide a novel taxonomy that bridges human cognitive abilities and artificial systems. The survey explores the historical development of industrial robots, the current state of AI implementation, and future trends in robotics. Additionally, we discuss the implications of these advancements for industries and their workforce, as well as the ethical considerations surrounding the growing autonomy of AI systems. This paper aims to serve as a reference point for researchers and professionals seeking to understand the intersection of cognitive science and industrial AI, highlighting the potential and challenges of integrating AI into robotic systems. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i4.536 Close
7.	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, title = {Global Football Excellence Index to Evaluate Footballers' Performance in the Ballon d'Or and International Awards Competitions}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra}, doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.505}, issn = {1558-2024}, year = {2024}, date = {2024-10-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {3}, pages = {1-3}, abstract = {This paper presents the Global Football Excellence Index (GFEI), an innovative framework for assessing the performance of footballers in the competition for the Ballon d'Or and other international awards, based on quantitative performance indicators.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close This paper presents the Global Football Excellence Index (GFEI), an innovative framework for assessing the performance of footballers in the competition for the Ballon d'Or and other international awards, based on quantitative performance indicators. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i3.505 Close
8.	Sánchez-Partida, Diana; Bernábe-Loranca, MarÍa Beatriz; Ruiz-Vanoye, Jorge A.; Barrera-Cámara, Ricardo A. Cluster of Vulnerable Municipalities in Mexico to facilitate the Creation of Coordination Mechanisms in the Humanitarian Responses through Machine Learning Techniques Journal Article 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, title = {Cluster of Vulnerable Municipalities in Mexico to facilitate the Creation of Coordination Mechanisms in the Humanitarian Responses through Machine Learning Techniques}, author = {Diana Sánchez-Partida and MarÍa Beatriz Bernábe-Loranca and Jorge A. Ruiz-Vanoye and Ricardo A. Barrera-Cámara }, doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.458}, issn = {1558-2024}, year = {2024}, date = {2024-10-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {3}, pages = {28-42}, abstract = {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.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close 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. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i3.458 Close
9.	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, title = {2D23D: 3D images from 2D images using statistical filters and color shading}, author = {Marco A. García-Márquez and Josue R. Martínez-Mireles and Jazmín Rodríguez-Flores and Arturo Austria-Cornejo and Jorge A. Ruiz-Vanoye }, doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.521}, issn = {1558-2024}, year = {2024}, date = {2024-10-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {3}, pages = {115–125}, abstract = {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.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close 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. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i3.521 Close
10.	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, title = {A brief review of the History of Computational Intelligence, Bio-Inspired Computing and Scientific Computing}, author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara }, doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.524}, issn = {1558-2024}, year = {2024}, date = {2024-10-01}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {3}, pages = {164–170}, abstract = {The use of computational tools to solve real problems of different industries has been in increased significantly. Software is used to solve problems of the air, sea, ground, pipes, and aerospace transportation planning; problems related to the science of sport, chemistry, medicine, nursing, mechatronics, robotics; business problems related to minimize costs and maximize profits, problems of management of small, medium and large companies; agro-industrial problems, environment, among many others. To solve real problems using scientific computation, Bio-inspired and computational intelligence. This paper aims to present a review of the history of Computational Intelligence Bio-Inspired Computing and scientific computing.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The use of computational tools to solve real problems of different industries has been in increased significantly. Software is used to solve problems of the air, sea, ground, pipes, and aerospace transportation planning; problems related to the science of sport, chemistry, medicine, nursing, mechatronics, robotics; business problems related to minimize costs and maximize profits, problems of management of small, medium and large companies; agro-industrial problems, environment, among many others. To solve real problems using scientific computation, Bio-inspired and computational intelligence. This paper aims to present a review of the history of Computational Intelligence Bio-Inspired Computing and scientific computing. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i3.524 Close
11.	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, title = {Quality of Service in Sustainable Development: A QoS-based Analysis of the United Nations Sustainable Development Goals}, author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez and Juan M. Xicoténcatl-Pérez and José M. Liceaga-Ortiz-De-La-Peña and Luis A. Ortiz-Suarez and Jazmin Rodríguez-Flores and Josue R. Martínez-Mireles}, doi = {https://doi.org/10.61467/2007.1558.2024.v15i1.437}, issn = {2007-1558}, year = {2024}, date = {2024-01-10}, urldate = {2024-01-10}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {1}, pages = {39–50}, abstract = {This paper explores the innovative application of Quality of Service (QoS) principles, traditionally rooted in network and telecommunications, across various sectors to enhance the achievement of the United Nations Sustainable Development Goals (SDGs). By establishing a parallel between QoS in technological systems and sectors such as healthcare, education, energy, and urban development, we examine how these principles can be adapted to improve service delivery and efficiency in critical areas of sustainable development. The core premise is that methodologies used to optimize data flow and service reliability in networks can similarly enhance the quality, accessibility, and sustainability of essential services. This study conducts a comprehensive comparative analysis to illustrate the potential of QoS frameworks in promoting efficiency, effectiveness, and equity across multiple domains of the SDGs. Key areas of focus include enhancing healthcare outcomes, increasing educational accessibility, ensuring sustainable energy use, and improving urban infrastructure. The findings advocate for a cross-disciplinary approach to applying QoS principles, suggesting that such integration can lead to substantial improvements in service delivery and contribute significantly to global sustainable development efforts.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close This paper explores the innovative application of Quality of Service (QoS) principles, traditionally rooted in network and telecommunications, across various sectors to enhance the achievement of the United Nations Sustainable Development Goals (SDGs). By establishing a parallel between QoS in technological systems and sectors such as healthcare, education, energy, and urban development, we examine how these principles can be adapted to improve service delivery and efficiency in critical areas of sustainable development. The core premise is that methodologies used to optimize data flow and service reliability in networks can similarly enhance the quality, accessibility, and sustainability of essential services. This study conducts a comprehensive comparative analysis to illustrate the potential of QoS frameworks in promoting efficiency, effectiveness, and equity across multiple domains of the SDGs. Key areas of focus include enhancing healthcare outcomes, increasing educational accessibility, ensuring sustainable energy use, and improving urban infrastructure. The findings advocate for a cross-disciplinary approach to applying QoS principles, suggesting that such integration can lead to substantial improvements in service delivery and contribute significantly to global sustainable development efforts. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i1.437 Close
12.	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, title = {Innovating in the Detection of Depression in Young Adults: Development of a Mobile Application Based on the Enhanced Cascade Model}, author = {Miguel Á. Ruiz-Jaimes and Maria Arely Gabriel-Romero and Rodrigo Alejandro Morales-López and Yadira Toledo-Navarro and Jorge A. Ruiz-Vanoye and Ocotlan Díaz-Parra and Jaime Aguilar-Ortiz }, doi = {https://doi.org/10.61467/2007.1558.2024.v15i1.394}, issn = {2007-1558}, year = {2024}, date = {2024-01-10}, urldate = {2024-01-10}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {15}, issue = {1}, pages = {86–100}, abstract = {Depression is a disorder that usually begins in early adulthood, having a duration according to the World Health Organization (WHO) from a couple of months to a couple of years, however, in approximately 20% of cases there is a chronic evolution that results in a high mortality rate by suicide due to lack of adequate treatment. Therefore, the objective of this project is to facilitate the tools for an adequate care of depression, mainly in young adults through the development of a mobile application that monitors patients. To carry out the project, the enhanced cascade model was implemented, because the feedback between the different phases of the system development life cycle is important to make the appropriate modifications. The application of interviews and the use of brainstorming were the selected way in which all the system requirements were designed and the goals to be met by the system were adequately defined.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close Depression is a disorder that usually begins in early adulthood, having a duration according to the World Health Organization (WHO) from a couple of months to a couple of years, however, in approximately 20% of cases there is a chronic evolution that results in a high mortality rate by suicide due to lack of adequate treatment. Therefore, the objective of this project is to facilitate the tools for an adequate care of depression, mainly in young adults through the development of a mobile application that monitors patients. To carry out the project, the enhanced cascade model was implemented, because the feedback between the different phases of the system development life cycle is important to make the appropriate modifications. The application of interviews and the use of brainstorming were the selected way in which all the system requirements were designed and the goals to be met by the system were adequately defined. Close doi:https://doi.org/10.61467/2007.1558.2024.v15i1.394 Close
2023
13.	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, title = {Classification of Cardiac Arrhythmias}, author = {Miguel Ángel Ruiz-Jaimes and Jorge Alarcón-Álvarez and Juan José Flores-Sedano and Jorge A. Ruiz-Vanoye and Yadira Toledo-Navarro and Eric Simancas-Acevedo and Francisco Rafael Trejo-Macotela and Marco Antonio Vera-Jiménez}, doi = {https://doi.org/10.61467/2007.1558.2023.v14i3.389}, issn = {2007-1558}, year = {2023}, date = {2023-09-23}, urldate = {2023-09-23}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {14}, issue = {3}, pages = {3-15}, abstract = {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.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close 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. Close doi:https://doi.org/10.61467/2007.1558.2023.v14i3.389 Close
14.	Díaz-Parra, Ocotlán; Xicotencatl-Pérez, Juan M.; Ramos-Fernández, Julio C.; Espejel-Flores, Porfirio; Toledo-Navarro, Yadira; Ruiz-Vanoye, Jorge A.; Simancas-Acevedo, Eric; Aguilar-Ortiz, Jaime Smart White Cane for Visually Impaired People for Hearing Recreation in Tourist Environment Journal Article In: International Journal of Combinatorial Optimization Problems and Informatics, vol. 14, no. 2, pp. 3-17, 2023, ISSN: 2007-1558. Abstract \| Links \| BibTeX \| Tags: CONAHCYT, ESCI @article{jar231, title = {Smart White Cane for Visually Impaired People for Hearing Recreation in Tourist Environment}, author = {Ocotlán Díaz-Parra and Juan M. Xicotencatl-Pérez and Julio C. Ramos-Fernández and Porfirio Espejel-Flores and Yadira Toledo-Navarro and Jorge A. Ruiz-Vanoye and Eric Simancas-Acevedo and Jaime Aguilar-Ortiz }, doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.348}, issn = {2007-1558}, year = {2023}, date = {2023-06-05}, urldate = {2023-06-05}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {14}, number = {2}, pages = {3-17}, abstract = {The tourist cities apply technologies to strengthen and facilitate the communication of the tourists with the sporting, cultural, scientific and other aspects of a city. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. The Smart white cane gives smart tourism to Blind people. The smart white cane is a white cane for blind people supplemented with Electronic Travel Aids, Electronic Orientation Aids, and Position Locator Devices. This paper proposes a smart white cane for visually impaired people for hearing recreation in tourist environments (smart tourist white cane or Smart White Cane for Smart Tourism).}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The tourist cities apply technologies to strengthen and facilitate the communication of the tourists with the sporting, cultural, scientific and other aspects of a city. Smart tourism is the innovation and the adoption of information and communication technologies in tourism. The Smart white cane gives smart tourism to Blind people. The smart white cane is a white cane for blind people supplemented with Electronic Travel Aids, Electronic Orientation Aids, and Position Locator Devices. This paper proposes a smart white cane for visually impaired people for hearing recreation in tourist environments (smart tourist white cane or Smart White Cane for Smart Tourism). Close doi:https://doi.org/10.61467/2007.1558.2023.v14i2.348 Close
15.	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, title = {Soccer Training Scheduling Problem}, author = {Alejandro Fuentes-Penna and Jorge A. Ruiz-Vanoye and Francisco R. Trejo-Macotela and Julio C. Ramos-Fernández and Ocotlán Díaz-Parra and Juan de Dios González-Ibarra and Eric Simancas-Acevedo and Porfirio Espejel Flores }, doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.349}, issn = {2007-1558}, year = {2023}, date = {2023-06-05}, urldate = {2023-06-05}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {14}, number = {2}, pages = {18–34}, abstract = {This article aims to present a new problem of planning of resources and activities related to soccer, which is a variant of the Project Scheduling Problem. Soccer projects are intended to meet the requirements and expectations of time, cost and quality of the processes of the Soccer-related activities. In this article, original and unique in the world to date, is presented the mathematical modelling based on the Project Scheduling Problem of soccer in order to make optimal use of the resources of time, money and human resources of enterprises that you take care to engage in Soccer. The CPLEX model was used to find the optimal use of resources of the Soccer Project Scheduling Problem.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close This article aims to present a new problem of planning of resources and activities related to soccer, which is a variant of the Project Scheduling Problem. Soccer projects are intended to meet the requirements and expectations of time, cost and quality of the processes of the Soccer-related activities. In this article, original and unique in the world to date, is presented the mathematical modelling based on the Project Scheduling Problem of soccer in order to make optimal use of the resources of time, money and human resources of enterprises that you take care to engage in Soccer. The CPLEX model was used to find the optimal use of resources of the Soccer Project Scheduling Problem. Close doi:https://doi.org/10.61467/2007.1558.2023.v14i2.349 Close
16.	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, title = {Complexity on Fuzzy set and Fuzzy Logic for Air Quality}, author = {Alejandro Fuentes-Penna and Ocotlán Díaz-Parra and Juan de D. González-Ibarra and Porfirio Espejel Flores and Eric Simancas-Acevedo and Jaime Aguilar-Ortiz and Jorge A. Ruiz-Vanoye }, doi = {https://doi.org/10.61467/2007.1558.2023.v14i2.367}, issn = {2007-1558}, year = {2023}, date = {2023-06-05}, urldate = {2023-06-05}, journal = {International Journal of Combinatorial Optimization Problems and Informatics}, volume = {14}, number = {2}, pages = {43–48}, abstract = {The Air quality measurement is reported as micrograms per cubic meter or parts per million. In this article, we proposed a survey of the complexity on Fuzzy Logic for air quality. The traditional air quality assessment is estimated using air quality indices as mean values of selected air pollutants, where the ambient environment has given limits without considering specific local conditions and synergic relations between air pollutants and other meteorological factors. Different models analyze the structure of data to find the characteristics of air quality similarities and to interpret the classification results by means of fuzzy logic.}, keywords = {CONAHCYT, ESCI}, pubstate = {published}, tppubtype = {article} } Close The Air quality measurement is reported as micrograms per cubic meter or parts per million. In this article, we proposed a survey of the complexity on Fuzzy Logic for air quality. The traditional air quality assessment is estimated using air quality indices as mean values of selected air pollutants, where the ambient environment has given limits without considering specific local conditions and synergic relations between air pollutants and other meteorological factors. Different models analyze the structure of data to find the characteristics of air quality similarities and to interpret the classification results by means of fuzzy logic. Close doi:https://doi.org/10.61467/2007.1558.2023.v14i2.367 Close