Tonatiuh Saucedo-Anaya

According to our database, Tonatiuh Saucedo-Anaya authored at least 6 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Convolutional Neural Networks for Real Time Classification of Beehive Acoustic Patterns on Constrained Devices.

Antonio Robles-Guerrero, Salvador Gómez-Jiménez, Tonatiuh Saucedo-Anaya, Daniela Lopez-Betancur, David J. Navarro-Solís, Carlos Guerrero-Mendez

Sensors, October, 2024

2023

Comparative Study of Machine Learning Models for Bee Colony Acoustic Pattern Classification on Low Computational Resources.

Antonio Robles-Guerrero, Tonatiuh Saucedo-Anaya, Carlos Guerrero-Mendez, Salvador Gómez-Jiménez, David J. Navarro-Solís

Sensors, 2023

Analysis of Convolutional Neural Network Models for Classifying the Quality of Dried Chili Peppers (Capsicum Annuum L).

David J. Navarro-Solís, Carlos Guerrero-Mendez, Tonatiuh Saucedo-Anaya, Daniela Lopez-Betancur, Luis Silva, Antonio Robles-Guerrero, Salvador Gómez-Jiménez

Proceedings of the Advances in Computational Intelligence. MICAI 2023 International Workshops, 2023

2021

Comparación de arquitecturas de redes neuronales convolucionales para el diagnóstico de COVID-19.

Daniela Lopez-Betancur, Rembrandt Bosco Duran, Carlos Guerrero-Mendez, Rogelia Zambrano Rodríguez, Tonatiuh Saucedo-Anaya

Computación y Sistemas, 2021

2019

Analysis of a multiclass classification problem by Lasso Logistic Regression and Singular Value Decomposition to identify sound patterns in queenless bee colonies.

Antonio Robles-Guerrero, Tonatiuh Saucedo-Anaya, Efrén González-Ramérez, José Ismael de la Rosa Vargas

Comput. Electron. Agric., 2019

2017

Frequency Analysis of Honey Bee Buzz for Automatic Recognition of Health Status: A Preliminary Study.

Antonio Robles-Guerrero, Tonatiuh Saucedo-Anaya, Efrén González-Ramérez, Carlos Eric Galván-Tejada

Res. Comput. Sci., 2017