Listar Artículos (MSC) por título

Mostrando ítems 1-20 de 39

    • A CBIR System for the Recognition of Agricultural Machinery 

      Rojas Ruiz, Rodolfo; Rodríguez Mazahua, Lisbeth; López Chau, Asdrúbal; Peláez Camarena, Gustavo; Abud Figueroa, María Antonieta; Machorro Cano, Isaac (Instituto Politécnico Nacional, 2018)
      Content-Based Image Retrieval (CBIR) is a technique to obtain images based on visual characteristics like color, texture and shape. In this article, an analysis of different CBIR systems is presented; also an inventory ...

    • A Counter Medication Classifier Using Machine Learning and Computer Vision Techniques 

      Ceh-Varela, Eduardo; Hernández-Chan, Gandhi; Villanueva-Escalante, Marisol; Alor-Hernández, Giner; Sánchez-Cervantes, José Luis (Instituto Politécnico Nacional, 2017-05-05)
      Self-medication and self-prescription are common practices that can be observed in many countries around the world, from the most advanced in terms of medical services in Europe to the less ones as in South America or ...

    • 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 ...

    • A Process for Automatic Generation of Medical Mobile Applications using Voice Recognition 

      Fernández Avelino, Jesus; Alor-Hernández, Giner; Paredes Valverde, Mario Andres; Rodríguez Mazahua, Lisbeth; Abud Figueroa, María Antonieta (Instituto Politécnico Nacional, 2020-05-05)
      In software engineering, the adoption of mobile devices generates the need for proposing new methods and processes for developing mobile applications. This paper presents and describes a software development process for ...

    • A System Dynamics Model to Evaluate the Impact of Production Process Disruption on Order Shipping 

      Sánchez-Ramírez, Cuauhtémoc; Ramos-Hernández, Rocío; Mendoza Fong, Jose Roberto; Alor-Hernández, Giner; García-Alcaraz, Jorge Luis (MDPI Publishing, 2020-01-02)
      Multiple studies have analyzed the importance of preventive maintenance. Similarly, they have developed and/or evaluated various spare part inventory management policies that help companies reduce the duration of production ...

    • A Systemic Conceptual Model to Support Decision Making in the Sustainability Assessment of Industrial Ecosystems 

      Mota-López, Dulce Rocío; Sánchez-Ramírez, Cuauhtémoc; Alor-Hernández, Giner; González Huerta, Magno Angel (Instituto Politécnico Nacional, 2017-05-05)
      One of the main challenges for companies is to operate in a sustainable way, that is, by protecting the ecosystems where they are located. As a result of such a challenge, different tools and models have been developed to ...

    • An Architecture for an IoT-based Telecare System for the Elderly Using Big Data Analytics 

      Echevarría Díaz, Jesús Miguel; Sánchez Cervantes, José Luis; Colombo Mendoza, Luis Omar; Alor-Hernández, Giner; López Martínez, Ignacio (Instituto Politécnico Nacional, 2020-05-05)
      The accelerated aging of the population is a real and constant situation worldwide. Long-lived population is the most affected demographic sector in terms of health and home safety. The advent of Big Data, in conjunction ...

    • Análisis de Encuestas sobre la Disminución de Autopsias en un Hospital Mexicano usando Minería de Patrones Emergentes 

      Ríos Méndez, Ingrid Aylin; Rodríguez Mazahua, Lisbeth; Palet Guzmán, José Antonio; Abud Figueroa, María Antonieta; Alor Hernández, Giner (ALFAOMEGA GRUPO EDITOR S.A. DE C.V., 2019-12-01)
      La Minería de Patrones Emergentes (EPM) es una tarea de Minería de Datos que permite encontrar diferencias entre distintas clases o conjuntos de datos. En este trabajo, se utilizaron tres algoritmos de EPM para encontrar ...

    • 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 ...

    • 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 ...

    • Aproximación al Análisis de Benchmark sobre Asistentes Virtuales 

      González Ávila, Nicol; López Martínez, Ignacio; Hernández García, Noé (Universidad Veracruzana, UV, 2020-03-09)
      Los Asistentes Virtua­les son herramientas integradas con inteligencia artificial. Tecno­logías que ayudan a los usuarios a obtener información de bases de datos y ejecutar aplicaciones; me­diante la comunicación de lenguaje ...

    • 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 ...