J
José M. Celaya-Padilla
Researcher at Autonomous University of Zacatecas
Publications - 83
Citations - 730
José M. Celaya-Padilla is an academic researcher from Autonomous University of Zacatecas. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 11, co-authored 66 publications receiving 384 citations. Previous affiliations of José M. Celaya-Padilla include Monterrey Institute of Technology and Higher Education.
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Journal ArticleDOI
Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases
Valeria Maeda-Gutiérrez,Carlos E. Galván-Tejada,Laura A. Zanella-Calzada,José M. Celaya-Padilla,Jorge I. Galván-Tejada,Hamurabi Gamboa-Rosales,Huizilopoztli Luna-García,Rafael Magallanes-Quintanar,Carlos A. Guerrero Méndez,Carlos Olvera-Olvera +9 more
TL;DR: This work focused on fine-tuning based on the comparison of the state-of-the-art architectures: AlexNet, GoogleNet, Inception V3, Residual Network (ResNet) 18, and ResNet 50, and concluded that this significantly success rate makes the GoogleNet model a useful tool for farmers in helping to identify and protect tomatoes from the diseases mentioned.
Journal ArticleDOI
Image Edge Detection Using Fractional Calculus with Feature and Contrast Enhancement
Amita Nandal,Hamurabi Gamboa-Rosales,Arvind Dhaka,José M. Celaya-Padilla,Jorge I. Galván-Tejada,Carlos E. Galván-Tejada,Francisco J. Martinez-Ruiz,Cesar H. Guzmán-Valdivia +7 more
TL;DR: By theoretical and experimental results, it is observed that the proposed feature and contrast enhancement of image using Riemann–Liouville fractional differential operator outperforms the existing methods under comparison.
Journal ArticleDOI
Speed Bump Detection Using Accelerometric Features: A Genetic Algorithm Approach.
José M. Celaya-Padilla,Carlos E. Galván-Tejada,F. E. López-Monteagudo,O. Alonso-González,Arturo Moreno-Baez,Antonio Martinez-Torteya,Jorge I. Galván-Tejada,Jose G. Arceo-Olague,Huizilopoztli Luna-García,Hamurabi Gamboa-Rosales +9 more
TL;DR: A novel method for the detection of road abnormalities (i.e., speed bumps) that makes use of a gyro, an accelerometer, and a GPS sensor mounted in a car, and can be used to construct a real-time surface monitoring system.
Journal ArticleDOI
Persistence of COVID-19 Symptoms after Recovery in Mexican Population.
Carlos E. Galván-Tejada,Cintya Fabiola Herrera-García,Susana Godina-González,Karen E. Villagrana-Bañuelos,Juan Daniel De Luna Amaro,Karla Herrera-García,Carolina Rodríguez-Quiñones,Laura A. Zanella-Calzada,Julio Ramírez-Barranco,Jocelyn L. Ruiz de Avila,Fuensanta Reyes-Escobedo,José M. Celaya-Padilla,Jorge I. Galván-Tejada,Hamurabi Gamboa-Rosales,Monica I. Martinez-Acuna,Alberto R. Cervantes-Villagrana,Bruno Rivas-Santiago,Irma González-Curiel +17 more
TL;DR: It was obtained that all symptoms have an associated risk in those recovered from COVID-19, and public health strategies must be rethought, to treat or rehabilitate, avoiding chronic problems in patients recovered from CoV-19.
Journal ArticleDOI
Deep Artificial Neural Networks for the Diagnostic of Caries Using Socioeconomic and Nutritional Features as Determinants: Data from NHANES 2013⁻2014.
Laura A. Zanella-Calzada,Carlos E. Galván-Tejada,Nubia M. Chávez-Lamas,Jesús Rivas-Gutierrez,Rafael Magallanes-Quintanar,José M. Celaya-Padilla,Jorge I. Galván-Tejada,Hamurabi Gamboa-Rosales +7 more
TL;DR: It is possible to conclude that the classification model developed through the deep ANN is able to classify subjects with absence of caries from subjects with presence or restorations with high accuracy, according to their demographic and dietary factors.