Publications

@article{22720251,

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},

urldate = {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}

}

@article{22720252,

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 = {25-35},

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}

}

@article{journal11424,

title = {Real-Time Coordination and Communication Process for the Issuance of Emergency Ambulance Alerts},

author = {Evelyn V. Tafoya-Rivera and Ocotlán Díaz-Parra and Marco A. Márquez-Vera and Jorge A. Ruiz-Vanoye and Julio C . Ramos-Fernández and José G. Benítez-Morales and Eduardo Hernández-Huerta},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i4.535},

isbn = {2007-1558},

year  = {2024},

date = {2024-11-01},

urldate = {2024-11-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

issue = {4},

pages = {101–117},

abstract = {The lack of attention to emergency alerts in road accidents in a timely manner may be due to the lack of management of resources or the lack of communication between hospital and patrol departments. The purpose of this research is to reduce the management time to provide attention to requests on highways. An alert and resource management process is proposed. This process will allow sending the optimized information in the shortest possible time. The experimentation was worked with a set of test instances and simulated in the laboratory using mechatronic devices to show the communication, coordination and attention in real time. The results obtained were acceptable, it was possible to identify the alert to be included in the algorithm which must comply with the restrictions and subsequently calculate the optimal route to be followed by the mechatronic device to reach the request node for the attention of the distress alert.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{paper130,

title = {A brief review of the History of Computational Intelligence, Bio-Inspired Computing and Scientific Computing},

author = {Ocotlán Díaz-Parra and Jorge A. Ruiz-Vanoye and Alejandro Fuentes-Penna and Ricardo A. Barrera-Cámara},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.524},

issn = {1558-2024},

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

issue = {3},

pages = {164–170},

abstract = {The use of computational tools to solve real problems of different industries has been in increased significantly. Software is used to solve problems of the air, sea, ground, pipes, and aerospace transportation planning; problems related to the science of sport, chemistry, medicine, nursing, mechatronics, robotics; business problems related to minimize costs and maximize profits, problems of management of small, medium and large companies; agro-industrial problems, environment, among many others. To solve real problems using scientific computation, Bio-inspired and computational intelligence. This paper aims to present a review of the history of Computational Intelligence Bio-Inspired Computing and scientific computing.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{PAPER134,

title = {A comparative analysis of the Classical and Machine learning Forecasting Methods for the Mexican Stock Exchange},

author = {Juan Frausto-Solis and Javier Alberto Rangel-González and Erick Estrada-Patiño and Juan Javier González-Barbosa and Erika Alarcón-Ruiz and Guadalupe Castilla-Valdez and Ocotlán Díaz-Parra



},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i3.512},

issn = {1558-2024},

year  = {2024},

date = {2024-10-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

issue = {3},

pages = {43–58},

abstract = {There is no recent comparison in the literature on the application of classical and machine learning methods for forecasting financial assets on the Mexican Stock Exchange (BMV). These methods divide the time series into three sections: training, validation, and testing. They predict future values using the training data and are evaluated in the validation phase using error metrics; once the lowest error is obtained, the best parameters and algorithms are used to predict values using the test section. This paper aims to find the most accurate regression algorithm to make predictions in the financial time series of the BMV. The regression methods compared include linear regression, neural networks, decision trees, and support vector regression. The study uses historical BMV asset price data to compare the accuracy of each of these algorithms.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj123c,

title = {Global Football Excellence Index to Evaluate Footballers' Performance in the Ballon d'Or and International Awards Competitions},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra},

doi = {10.61467/2007.1558.2024.v15i3.505},

issn = {2007-1558},

year  = {2024},

date = {2024-08-03},

urldate = {2024-08-03},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

number = {3},

pages = {1-3},

abstract = {This paper presents the Global Football Excellence Index (GFEI), an innovative framework for assessing the performance of footballers in the competition for the Ballon d'Or and other international awards, based on quantitative performance indicators.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj123d,

title = {Quality of Service in Sustainable Development: A QoS-based Analysis of the United Nations Sustainable Development Goals},

author = {Jorge A. Ruiz-Vanoye and Ocotlán Díaz-Parra and Francisco Marroquín-Gutiérrez and Julio C. Salgado-Ramírez and Juan M. Xicoténcatl-Pérez and José M. Liceaga-Ortiz-De-La-Peña and Luis A. Ortiz-Suarez and Jazmin Rodríguez-Flores and Josue R. Martínez-Mireles},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i1.437},

issn = {2007-1558},

year  = {2024},

date = {2024-05-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

number = {1},

pages = {39-50},

abstract = {This paper explores the innovative application of Quality of Service (QoS) principles, traditionally rooted in network and telecommunications, across various sectors to enhance the achievement of the United Nations Sustainable Development Goals (SDGs). By establishing a parallel between QoS in technological systems and sectors such as healthcare, education, energy, and urban development, we examine how these principles can be adapted to improve service delivery and efficiency in critical areas of sustainable development. The core premise is that methodologies used to optimize data flow and service reliability in networks can similarly enhance the quality, accessibility, and sustainability of essential services. This study conducts a comprehensive comparative analysis to illustrate the potential of QoS frameworks in promoting efficiency, effectiveness, and equity across multiple domains of the SDGs. Key areas of focus include enhancing healthcare outcomes, increasing educational accessibility, ensuring sustainable energy use, and improving urban infrastructure. The findings advocate for a cross-disciplinary approach to applying QoS principles, suggesting that such integration can lead to substantial improvements in service delivery and contribute significantly to global sustainable development efforts.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj123e,

title = {Innovating in the Detection of Depression in Young Adults: Development of a Mobile Application Based on the Enhanced Cascade Model},

author = {Miguel Ángel Ruiz-Jaimes and Maria Arely Gabriel-Romero and Rodrigo Alejandro Morales-López and Yadira Toledo-Navarro and Jorge A. Ruiz-Vanoye and Ocotlan Díaz-Parra and Jaime Aguilar Ortiz},

doi = {https://doi.org/10.61467/2007.1558.2024.v15i1.394},

issn = {2007-1558},

year  = {2024},

date = {2024-05-01},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {15},

number = {1},

pages = {86-100},

abstract = {Depression is a disorder that usually begins in early adulthood, having a duration according to the World Health Organization (WHO) from a couple of months to a couple of years, however, in approximately 20% of cases there is a chronic evolution that results in a high mortality rate by suicide due to lack of adequate treatment. Therefore, the objective of this project is to facilitate the tools for an adequate care of depression, mainly in young adults through the development of a mobile application that monitors patients.  To carry out the project, the enhanced cascade model was implemented, because the feedback between the different phases of the system development life cycle is important to make the appropriate modifications. The application of interviews and the use of brainstorming were the selected way in which all the system requirements were designed and the goals to be met by the system were adequately defined.},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@article{jj123,

title = {Prediction of the Melting Point of Ionic Liquids with Clustering and Noeuroevolution},

author = {Juan Frausto-Solis and Juan Javier González-Barbosa and Jorge Alberto Cerecedo-Cordoba and Juan Paulo Sánchez-Hernández and Ocotlán Díaz-Parra and Guadalupe Castilla-Valdez},

doi = {https://doi.org/10.61467/2007.1558.2023.v14i3.384},

issn = {2007-1558},

year  = {2023},

date = {2023-09-23},

journal = {International Journal of Combinatorial Optimization Problems and Informatics},

volume = {14},

issue = {3},

pages = {24-30},

keywords = {CONAHCYT, ESCI},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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}

}