Browsing Artículos (MSC) by Issue Date

Now showing items 21-39 of 39

    • Design of a Multimedia Data Management System that Uses Horizontal Fragmentation to Optimize Content-based Queries 

      Rodríguez-Arauz, Marcos Joaquín; Rodríguez-Mazahua, Lisbeth; Arrioja-Rodríguez, Mario Leoncio; Abud-Figueroa, María Antonieta; Peláez-Camarena, Silvestre Gustavo; Martínez-Méndez, Luz del Carmen (International Academy, Research, and Industry Association (IARIA), 2020-10-01)
      In the Technological Institute of Orizaba, a project was carried out to collect historical data of the Institute, where a large amount of multimedia data was retrieved. At the end of the project, it was detected that ...

    • Método para el desarrollo de aplicaciones descentralizadas basadas en blockchain 

      Balderas Rosas, José Luis; Juárez Martínez, Ulises; Rodríguez Mazahua, Lisbeth; Olivarez Zepahua, Beatriz Alejandra; Centeno Téllez, Adolfo (2020-10-05)
      Blockchain technology has gained a massive boost in last years, due to the security it provides, because the blockchain is a shared peer-to-peer database; it is allowing immutable storage of information and ordered. Although ...

    • Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review 

      Castro-Medina, Felipe; Rodríguez Mazahua, Lisbeth; López-Chau, Asdrúbal; Cervantes, Jair; Alor-Hernández, Giner; Machorro-Cano, Isaac (MDPI Publishing, 2020-11-30)
      Fragmentation is a design technique widely used in multimedia databases, because it produces substantial benefits in reducing response times, causing lower execution costs in each operation performed. Multimedia databases ...

    • Discovery of Resident Behavior Patterns Using Machine Learning Techniques and IoT Paradigm 

      Reyes-Campos, Josimar; Alor-Hernández, Giner; Machorro-Cano, Isaac; Olmedo-Aguirre, José Oscar; Sánchez-Cervantes, José Luis; Rodríguez-Mazahua, Lisbeth (MDPI Publishing, 2021-01-21)
      In recent years, technological paradigms such as Internet of Things (IoT) and machine learning have become very important due to the benefit that their application represents in various areas of knowledge. It is interesting ...

    • Knowledge Intensive Software Engineering Applications 

      Mejia, Jezreel; Valencia-García, Rafael; Alor-Hernández, Giner; Calvo-Manzano, José Antonio (Journal of Universal Computer Science, 2021-02-28)
      The use of Information and Communication Technologies (ICTs) has become a competitive strategy that allows organizations to position themselves within their market of action. In addition, the evolution, advancement and ...

    • A New Method of Dynamic Horizontal Fragmentation for Multimedia Databases Contemplating Content-Based Queries 

      Castro-Medina, Felipe; Rodríguez-Mazahua, Lisbeth; López-Chau, Asdrúbal; Cervantes, Jair; Alor-Hernández, Giner; Machorro-Cano, Isaac; Arrioja-Rodríguez, Mario Leoncio (MDPI Publishing, 2022-01-17)
      The proper storage and management of multimedia data is a topic of great interest to industry and academia. Database fragmentation plays a fundamental role as a mechanism to guarantee cost reduction and improve response ...

    • Remote Healthcare for Elderly People Using Wearables: A Review 

      Olmedo-Aguirre, José Oscar; Reyes-Campos, Josimar; Alor-Hernández, Giner; Machorro-Cano, Isaac; Rodríguez-Mazahua, Lisbeth; Sánchez-Cervantes, José Luis (MDPI Publishing, 2022-01-27)
      The growth of healthcare spending on older adults with chronic diseases faces major concerns that require effective measures to be adopted worldwide. Among the main concerns is whether recent technological advances now ...

    • Detecting Depression Signs on Social Media: A Systematic Literature Review 

      Salas-Zárate, Rafael; Alor-Hernández, Giner; Salas-Zárate, María del Pilar; Paredes-Valverde, Mario Andres; Bustos-López, Maritza; Sánchez-Cervantes, José Luis (MDPI Publishing, 2022-02-01)
      Among mental health diseases, depression is one of the most severe, as it often leads to suicide; due to this, it is important to identify and summarize existing evidence concerning depression sign detection research on ...

    • mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review 

      Cruz-Ramos, Nancy Aracely; Alor-Hernández, Giner; Colombo-Mendoza, Luis Omar; Sánchez-Cervantes, José Luis; Rodríguez-Mazahua, Lisbeth; Guarneros-Nolasco, Luis Rolando (MDPI Publishing, 2022-02-08)
      The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an increasing trend in patient-centered care. In this research, we conduct a scoping review of mHealth apps for CVD self-management within ...

    • SCM-IoT: An Aproach for Internet of Things Services Integration and Coordination 

      Machorro-Cano, Isaac; Olmedo-Aguirre, José Oscar; Alor-Hernández, Giner; Rodríguez-Mazahua, Lisbeth; Sánchez-Cervantes, José Luis; López-Chau, Asdrúbal (MDPI Publishing, 2022-03-18)
      Today, new applications demand an internet of things (IoT) infrastructure with greater intelligence in our daily-use devices. Among the salient features that characterize intelligent IoT systems are interoperability and ...

    • Wearable Devices for Physical Monitoring of Heart: A Review 

      Prieto-Avalos, Guillermo; Cruz-Ramos, Nancy Aracely; Alor-Hernández, Giner; Sánchez-Cervantes, José Luis; Rodríguez-Mazahua, Lisbeth; Guarneros-Nolasco, Luis Rolando (MDPI Publishing, 2022-05-02)
      Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective strategy to mitigate the burden of CVDs has been to monitor patients’ biomedical variables during daily activities with wearable technology. ...

    • Desarrollo de un módulo para la prevención de la Hipertensión usando el paradigma IoT y Aprendizaje Automático 

      Alor-Hernández, Juan Antonio; Alor-Hernández, Giner; Cruz-Ramos, Nancy Aracely; Sánchez-Cervantes, José Luis; Rodríguez-Mazahua, Lisbeth (Instituto Politécnico Nacional, 2022-05-11)
      La hipertensión, también conocida como asesino silencioso es un síndrome clínico cuya principal característica es el aumento de la presión arterial, a su vez es una de las principales causas de enfermedades cardiovasculares ...

    • Wearables for Engagement Detection in Learning Environments: A Review 

      Bustos-López, Maritza; Cruz-Ramírez, Nicandro; Guerra-Hernández, Alejandro; Sánchez Morales, Laura Nely; Cruz-Ramos, Nancy Aracely; Alor-Hernández, Giner (MDPI Publishing, 2022-07-11)
      Appropriate teaching–learning strategies lead to student engagement during learning activities. Scientific progress and modern technology have made it possible to measure engagement in educational settings by reading and ...

    • Decision-Tree-Based Horizontal Fragmentation Method for Data Warehouses 

      Rodríguez-Mazahua, Nidia; Rodríguez-Mazahua, Lisbeth; López-Chau, Asdrúbal; Alor-Hernández, Giner; Machorro-Cano, Isaac (MDPI Publishing, 2022-10-28)
      Data warehousing gives frameworks and means for enterprise administrators to methodically prepare, comprehend, and utilize the data to improve strategic decision-making skills. One of the principal challenges to data ...

    • REVISIÓN DE MÉTODOS DE RECUPERACIÓN DE VIDEO CON BASE EN CONTENIDO 

      Peña Riquer, Gustavo Steve Luis; Rodríguez Mazahua, Lisbeth; Arrioja Rodríguez, Mario Leoncio; Juárez Martínez, Ulises; Abud Figueroa, María Antonieta (Federación Global de Profesiones F.G.D.P., 2022-12-01)
      El crecimiento explosivo de datos multimedia, específicamente video, genera la necesidad de desarrollar métodos de recuperación basada en contenido. Este artículo presenta los resultados de una revisión de 32 artículos ...

    • Application of Supervised Descriptive Rule Discovery Methods: Review and Architecture 

      Olmos Vallejo, Araceli; Rodríguez Mazahua, Lisbeth; Palet Guzmán, José Antonio; Machorro Cano, Isaac; Alor-Hernández, Giner; Sánchez Cervantes, José Luis (Editorial Universitaria Abya-Yala, 2023-08-22)
      An autopsy is a recognized procedure for achieving continuous improvement in the quality of medical work despite its worldwide decline, while data mining is the process of finding patterns, anomalies, or correlations between ...

    • Hacia el desarrollo de un sistema de evaluación adaptativa computarizada basada en reglas de asociación secuenciales 

      Reyes-García, Arturo Uriel; Rodríguez-Mazahua, Lisbeth; Pacheco-Ortiz, Josué; Abud-Figueroa, María Antonieta; Juárez-Martínez, Ulises (Universidad Autónoma del Estado de Hidalgo, 2023-09-11)
      En este trabajo se muestran los resultados de un análisis de 38 artículos de investigación de las principales editoriales informáticas, para comparar los métodos de minería de patrones secuenciales que utilizaron, además ...

    • Dynamic Hybrid Fragmentation Method for Multimedia Databases Método de Fragmentación Híbrida Dinámica para Bases de Datos Multimedia 

      Crescencio-Rico, Oscar; Rodríguez-Mazahua, Lisbeth; Castro-Medina, Felipe; Alor-Hernández, Giner; Sánchez-Cervantes, José Luis (Universidad Autónoma del Estado de Hidalgo, 2023-09-11)
      Las bases de datos multimedia almacenan datos de gran tamaño, provocando problemas en la recuperación eficiente de la información, aumentando los costos de ejecución y tiempos de respuesta de las consultas. Para resolver ...

    • Medical Opinions Analysis about the Decrease of Autopsies Using Emerging Pattern Mining 

      Machorro-Cano, Isaac; Ríos-Méndez, Ingrid Aylin; Palet-Guzmán, José Antonio; Rodríguez-Mazahua, Nidia; Rodríguez-Mazahua, Lisbeth; Alor-Hernández, Giner; Olmedo-Aguirre, José Oscar (MDPI Publishing, 2023-12-21)
      An autopsy is a widely recognized procedure to guarantee ongoing enhancements in medicine. It finds extensive application in legal, scientific, medical, and research domains. However, declining autopsy rates in hospitals ...