Classification and selection of the main features for the identification of toxicity in Agaricus and Lepiota with machine learning algorithms by Jacqueline S. Ortiz-Letechipia, Carlos E. Galvan-Tejada, Jorge I. Galván-Tejada, Manuel A. Soto-Murillo, Erika Acosta-Cruz, Hamurabi Gamboa-Rosales, José María Celaya Padilla, Huizilopoztli Luna-García

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Deep artificial neural network based on environmental sound data for the generation of a children activity classification model by Antonio García-Domínguez, Carlos E. Galvan-Tejada, Laura A. Zanella-Calzada, Hamurabi Gamboa, Jorge I. Galván-Tejada, José María Celaya Padilla, Huizilopoztli Luna-García, Jose G. Arceo-Olague, Rafael Magallanes-Quintanar

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Comparative study of convolutional neural network architectures for gastrointestinal lesions classification by Erik O. Cuevas-Rodriguez, Carlos E. Galvan-Tejada, Valeria Maeda-Gutiérrez, Gamaliel Moreno-Chávez, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Huizilopoztli Luna-García, Arturo Moreno-Baez, José María Celaya-Padilla

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Enhancing Scrap Reduction in Electric Motor Manufacturing for the Automotive Industry: A Case Study Using the PDCA (Plan–Do–Check–Act) Approach by Miguel-Ángel Rangel-Sánchez, José-De-Jesús Urbina-González, José-Luis Carrera-Escobedo, Omar-Alejandro Guirette-Barbosa, Virgilio-Alfonso Murillo-Rodríguez, José-María Celaya-Padilla, Héctor-Antonio Durán-Muñoz, Oscar Cruz-Domínguez

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“Texting & Driving” Detection Using Deep Convolutional Neural Networks by José María Celaya-Padilla, Carlos Eric Galván-Tejada, Joyce Selene Anaid Lozano-Aguilar, Laura Alejandra Zanella-Calzada, Huizilopoztli Luna-García, Jorge Issac Galván-Tejada, Nadia Karina Gamboa-Rosales, Alberto Velez Rodriguez, Hamurabi Gamboa-Rosales

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