Listar Artículos (MSC) por título

Mostrando ítems 12-31 de 39

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Diseño de un sistema para realizar consultas basadas en contenido en una base de datos multimedia 

      Rojas Ruiz, Rodolfo; Rodríguez Mazahua, Lisbeth; López Chau, Asdrúbal; Peláez Camarena, Silvestre Gustavo; Abud Figueroa, María Antonieta (ALFA-OMEGA, 2017-12-01)
      La recuperación de Imágenes Basada en Contenido (CBIR, “Content-Based Image Retrieval”) es una técnica para obtener imágenes con base en características visuales como color, textura y forma. En este artículo se presenta ...

    • Diseño de una aplicación Web para el seguimiento y control del sobrepeso u obesidad a través del paradigma del IoT 

      Ramos-Deonati, Uriel; Alor-Hernández, Giner; Machorro-Cano, Isaac; Sánchez-Cervantes, José Luis; Rodríguez-Mazahua, Lisbeth (Instituto Politécnico Nacional, 2018-05-24)
      En la actualidad, el sobrepeso y la obesidad son dos problemas de salud globales que afectan la calidad de vida de las personas y, por lo tanto, su vida laboral. El Internet de las cosas (IoT, por sus siglas en inglés) ...

    • 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 ...

    • 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 ...

    • HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving 

      Machorro-Cano, Isaac; Alor-Hernández, Giner; Paredes Valverde, Mario Andres; Rodríguez Mazahua, Lisbeth; Sánchez-Cervantes, José Luis; Olmedo-Aguirre, José Oscar (MDPI Publishing, 2020-03-02)
      Energy efficiency has aroused great interest in research worldwide, because energy consumption has increased in recent years, especially in the residential sector. The advances in energy conversion, along with new forms ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • New Trends in Semantic Web-Based Applications 

      Rodríguez-García, Miguel Angel; Valencia-García, Rafael; Alor-Hernández, Giner (Journal of Universal Computer Science, 2018-11-20)
      The Semantic Web brings a new way of representing information, thereby making it more understandable for computers. Ontologies are the building blocks of the semantic web framework and have thus become its cornerstone, as ...

    • PISIoT: A Machine Learning and IoT-Based Smart Health Platform for Overweight and Obesity Control 

      Machorro-Cano, Isaac; Alor-Hernández, Giner; Paredes Valverde, Mario Andres; Ramos-Deonati, Uriel; Sánchez-Cervantes, José Luis; Rodríguez-Mazahua, Lisbeth (MDPI Publishing, 2019-07-28)
      Overweight and obesity are affecting productivity and quality of life worldwide. The Internet of Things (IoT) makes it possible to interconnect, detect, identify, and process data between objects or services to fulfill a ...

    • Preliminary Results of an Analysis Using Association Rules to Find Relations between Medical Opinions About the non-Realization of Autopsies in a Mexican Hospital 

      Rubio Delgado, Elayne; Peláez-Camarena, Silvestre Gustavo; Abud-Figueroa, María Antonieta; Palet Guzmán, José Antonio; López-Chau, Asdrúbal; Alor-Hernández, Giner (Instituto Politécnico Nacional, 2017-05-05)
      In the last years, a significant reduction in the number of autopsies realized in the hospitals of the world has been observed. Since medics are the closest people to this problematic, they can offer information that helps ...

    • Proceso de desarrollo de aplicaciones para el dominio social media usando técnicas de Deep Learning 

      Colmenares Morales, Aaron; Sánchez Morales, Laura Nely; Alor-Hernández, Giner; Sánchez-Cervantes, José Luis; Juarez-Martinez, Ulises (Instituto Politécnico Nacional, 2019-04-30)
      Los avances del Deep Learning, son cada vez más notorios en el desarrollo de software. Sin embargo, a pesar de tener un gran avance aún no se explotan las técnicas de Deep Learning para los generadores automáticos de ...

    • 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 ...

    • 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 ...