Artículos (MSC): Envíos recientes

Mostrando ítems 21-39 de 39

    • 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 ...

    • Sistema generador de aplicaciones de apoyo a la educación utilizando NFC para Android 

      Martínez Merlo, José María; López Martinez, Ignacio (Instituto Politecnico Nacional, IPN, 2020-06-04)
      Recientemente algunas tecnologías han sido adoptadas en el campo educativo permitiendo prácticas más activas y motivadoras con el uso de aulas inteligentes, e-learning o la realidad virtual, las cuales facilitan el proceso ...

    • 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 ...

    • Role of Human Knowledge and Communication on Operational Benefits Gained from Six Sigma 

      García-Alcaraz, Jorge Luis; Avelar-Sosa, Liliana; Latorre-Biel, Juan; Jiménez-Macías, Emilio; Alor-Hernández, Giner (MDPI Publishing, 2017-09-26)
      Six Sigma (SS) is a production philosophy focused on human experiences and knowledge, aimed to minimize defects of products and services. The appropriate implementation of SS requires an education process, reliable data ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Survey of Scientific Programming Techniques for the Management of Data-Intensive Engineering Environments 

      Alvarez-Rodríguez, José María; Alor-Hernández, Giner; Mejia-Miranda, Jezreel (Hindawi Publishing, 2018-10-30)
      The present paper introduces and reviews existing technology and research works in the field of scientific programming methods and techniques in data-intensive engineering environments. More specifically, this survey aims ...

    • Scientific Programming Techniques and Algorithms for Data-Intensive Engineering Environments 

      Alor-Hernández, Giner; Mejia-Miranda, Jezreel; Alvarez-Rodríguez, José Maria (Hindawi Publishing, 2018-02-19)
      In recent years, the development, advancement, and use of Information and Communications Technology (ICT) have had a major impact on the operation, structure, and strategy of organizations around the world. Today, it is ...

    • 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) ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...