Listar Artículos (DCI) por autor "Alor-Hernández, Giner"

Mostrando ítems 1-20 de 30

    • 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 Review of Commercial and Non-Commercial Wearables Devices for Monitoring Motor Impairments Caused by Neurodegenerative Diseases 

      Prieto-Avalos, Guillermo; Sánchez-Morales, Laura Nely; Alor-Hernández, Giner; Sánchez-Cervantes, José Luis (MDPI, 2022-12-31)
      Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The effects of NDDs, including irreversible motor impairments, have an impact not only on patients themselves but also on their families and ...

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

      Mota-López, Rocío; Sánchez-Ramírez, Cuauhtémoc; Alor-Hernández, Giner; González-Huerta, Magno Angel (Instituto Politécnico Nacional, 2017-07-28)
      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 ...

    • 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 ...

    • Cloud-Based Platforms for Health Monitoring: A Review 

      Machorro-Cano, Isaac; Olmedo-Aguirre, Jose Oscar; Alor-Hernández, Giner; Rodriguez-Mazahua, Lisbeth; Sanchez Morales, Laura Nely; Perez-Castro, Nancy (MDPI Publishing, 2023-12-20)
      Cloud-based platforms have gained popularity over the years because they can be used for multiple purposes, from synchronizing contact information to storing and managing user fitness data. These platforms are still in ...

    • Comparative Analysis of Decision Tree Algorithms for Data Warehouse Fragmentation 

      Rodríguez-Mazahua, Nidia; Rodríguez-Mazahua, Lisbeth; López Chau, Asdrúbal; Alor-Hernández, Giner (CEIPA, 2020-12-07)
      One of the main problems faced by Data Warehouse designers is fragmentation. Several studies have proposed data mining-based horizontal fragmentation methods. However, not exists a horizontal fragmentation technique that ...

    • 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, 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 ...

    • 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, 2021-01-22)
      : 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 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) es ...

    • Early Identification of Risk Factors in Non-Alcoholic Fatty Liver Disease (NAFLD) Using Machine Learning 

      Guarneros-Nolasco, Luis Rolando; Alor-Hernández, Giner; Prieto-Avalos, Guillermo; Sánchez-Cervantes, José Luis (MDPI, 2023-07-07)
      Liver diseases are a widespread and severe health concern, affecting millions worldwide. Non-alcoholic fatty liver disease (NAFLD) alone affects one-third of the global population, with some Latin American countries seeing ...

    • Extended Reality (XR) Engines for Developing Gamified Apps and Serious Games: A Scoping Review 

      Marin-Vega, Humberto; Alor-Hernández, Giner; Bustos Lopez, Maritza; Lopez-Martinez, Ignacio; Hernandez-Chaparro, Norma Leticia (MDPI Publishing, 2023-11-27)
      Extended Reality (XR) is an emerging technology that enables enhanced interaction between the real world and virtual environments. In this study, we conduct a scoping review of XR engines for developing gamified apps and ...

    • FRAGMENT: A Web Application for Database Fragmentation, Allocation and Replication Over a Cloud Environment 

      Castro-Medina, Felipe; Rodríguez-Mazahua, Lisbeth; López-Chau, Asdrúbal; Abud-Figueroa, María Antonieta; Alor-Hernández, Giner (IEEE, 2020-05-25)
      Fragmentation, allocation and replication are techniques widely used in relational databases to improve the performance of operations and reduce their cost in distributed environments. This article shows an analysis of ...

    • Identifying the Main Risk Factors for Cardiovascular Diseases Prediction Using Machine Learning Algorithms 

      Guarneros-Nolasco, Luis R; Cruz-Ramos, Nancy A.; Alor-Hernández, Giner; Rodríguez-Mazahua, Lisbeth; Sánchez-Cervantes, José L. (MDPI, 2021-10-09)
      Las enfermedades cardiovasculares (ECV) son una de las principales causas de muerte en el mundo. En las ECV, el corazón es incapaz de llevar suficiente sangre a otras regiones del cuerpo. Dado que un diagnóstico eficaz y ...

    • Knowledge Intensive Software Engineering Applications 

      Mejia-Miranda, 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 use ...

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

      Machorro-Cano, Isaac; Ríos-Méndez, Ingrid Aylin; Palet-Guzmán, Jose Antonio; Rodriguez-Mazahua, Nidia; Rodriguez-Mazahua, Lisbeth; Alor-Hernández, Giner; Olmedo-Aguirre, Jose 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 ...

    • 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 ...

    • Model for Semi-Automatic Serious Games Generation 

      Silva-Vásquez, Pedro Omar; Rosales-Morales, Viviana Yarel; Benítez-Guerrero, Edgard; Alor-Hernández, Giner; Mezura-Godoy, Carmen; Montané-Jiménez, Luis Gerardo (MDPI, 2023-04-20)
      Serious games (SG), (video games with an educational purpose), provide teachers with tools to strengthen their students’ knowledge. Developing a SG requires knowledge, time, and effort. As a result, specialized tools to ...

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

      Machorro-Cano, Isaac; Alor-Hernández, Giner; Paredes-Valverde, Mario Andrés; 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 ...

    • Reglas de Asociación como Estrategia de Selección de Ítems en Exámenes Adaptativos Computarizados 

      Pacheco-Ortiz, Josué; Rodríguez-Mazahua, Lisbeth; Alor-Hernández, Giner (Universidad Autónoma del Estado de México, 2022-08-31)
      En el presente trabajo se propone un método de selección de ítems en los CAT (Computerized Adaptive Testing, Exámenes Adaptativos Computarizados) basado en reglas de asociación. De acuerdo con la respuesta correcta (1) o ...