• 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 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, 2017-06-26)
      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 ...
    • Desarrollo de una aplicación móvil para contribuir en el incremento y personalización del confort en una casa inteligente a través del paradigma del Internet de las Cosas 

      Reyes Campos, Josimar; Alor Hernández, Giner; Machorro Cano, Isaac (Instituto Tecnológico de Orizaba, 2021-01-05)
      Actualmente un gran sector de la población mundial tiene acceso al uso de tecnologías emergentes de comunicación que permiten la comunicación entre personas y dispositivos. Bajo este esquema surgen paradigmas tecnológicos ...
    • Determination of Soil Agricultural Aptitude for Sugar Cane Production in Vertisols with Machine Learning 

      Landeta Escamilla, Ofelia; Alvarado-Lassman, Alejandro; Sandoval Gonzalez, Oscar Osvaldo; Flores-Cuautle, José de Jesus Agustín; Rosas-Mendoza, Erik Samuel; Martínez Sibaja, Albino; VAllejo Cantú, Norma Alejandra; Méndez Contreras, Juan Manuel (MDPI PROCESSES, 2023-06-30)
      Sugarcane is one of the main agro-industrial products consumed worldwide, and, therefore, the use of suitable soils is a key factor to maximize its production. As a result, the need to evaluate soil matrices, including ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving 

      Machorro Cano, Isaac; Paredes Valverde, Mario Andrés; Rodríguez Mazahua, Lisbeth; Álor Hernández, Giner; Sánchez Cervantes, José Luis; Olmedo Aguirre, José Oscar (2020-02-27)
      Energy efficiency has aroused great interest in research worldwide, because energy consumptionhasincreasedinrecentyears,especiallyintheresidentialsector. Theadvancesinenergy conversion, along with new forms of communication, ...
    • 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 ...
    • 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 ...