Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Aldonso Becerra"'
Autor:
Rolando Hinojosa‐Meza, Martín Montes Rivera, Paulino Vacas‐Jacques, Nivia Escalante‐Garcia, José Alonso Dena‐Aguilar, Aldonso Becerra Sanchez, Ernesto Olvera‐Gonzalez
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 7, Iss 4, Pp n/a-n/a (2024)
Abstract Vertical farming (VF) refers to systems of agriculture where crops are grown in trays stacked vertically by exposing them to artificial light and using sensing technology to improve product quality and yield. In this work, we propose an adva
Externí odkaz:
https://doaj.org/article/c8defa6c354e4f13b140d681d5fe983a
Autor:
Aldonso Becerra-Sánchez, Armando Rodarte-Rodríguez, Nivia I. Escalante-García, José E. Olvera-González, José I. De la Rosa-Vargas, Gustavo Zepeda-Valles, Emmanuel de J. Velásquez-Martínez
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1396 (2022)
The new pandemic caused by the COVID-19 virus has generated an overload in the quality of medical care in clinical centers around the world. Causes that originate this fact include lack of medical personnel, infrastructure, medicines, among others. T
Externí odkaz:
https://doaj.org/article/f6b63350f0904cdcaab763171a86c241
Autor:
Angel David Pedroza, José I. De la Rosa, Rogelio Rosas, Aldonso Becerra, Jesús Villa, Gamaliel Moreno, Efrén González, Daniel Alaniz
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2382 (2020)
A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The m
Externí odkaz:
https://doaj.org/article/d9ca5faec5ba4b2e94bd6e8c6757ab81
Autor:
Hinojosa‐Meza, Rolando, Rivera, Martín Montes, Vacas‐Jacques, Paulino, Escalante‐Garcia, Nivia, Dena‐Aguilar, José Alonso, Sanchez, Aldonso Becerra, Olvera‐Gonzalez, Ernesto
Publikováno v:
Agrosystems, Geosciences & Environment; Dec2024, Vol. 7 Issue 4, p1-15, 15p
Autor:
Rolando Hinojosa-Meza, Martín Montes Rivera, Paulino Vacas-Jacques, Nivia Escalante-Garcia, José Alonso Dena-Aguilar, Aldonso Becerra Sanchez, Ernesto Olvera-Gonzalez
We propose an advanced filtering scheme based on Recurrent Neural Networks (RNNs) and Deep Learning to enable efficient control strategies for Vertical Farming (VF) applications. We demonstrate that the best RNN model incorporates five neuron layers,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f9ac270fd1fdb6d38cd8bbe1b334507
https://doi.org/10.20944/preprints202305.0334.v1
https://doi.org/10.20944/preprints202305.0334.v1
Autor:
Armando Rodarte-Rodríguez, Aldonso Becerra-Sánchez, José I. De La Rosa-Vargas, Nivia I. Escalante-García, José E. Olvera-González, Emmanuel de J. Velásquez-Martínez, Gustavo Zepeda-Valles
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031203213
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::050289b3d1b2f682109d458c511edd36
https://doi.org/10.1007/978-3-031-20322-0_21
https://doi.org/10.1007/978-3-031-20322-0_21
Autor:
N. Iracemi Escalante, J. Ismael de la Rosa, Efrén González, A. David Pedroza, Eduardo Santos, Aldonso Becerra
Publikováno v:
Multimedia Tools and Applications. 79:19669-19715
Training procedures of a deep neural network are still an area with ample research possibilities and constant improvement either to increase its efficiency or its time performance. One of the lesser-addressed components is its objective function, whi
Autor:
José de Jesús Villa Hernández, José Ismael De la Rosa Vargas, Aldonso Becerra Sánchez, Ángel David Pedroza Ramírez
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 27:3150-3164
In this paper, a new method to deal with automatic speaker verification based on band-limited phaseonly correlation (BLPOC) is proposed. The aim of this study is to validate the use of the BLPOC function as a new limited-data automatic speaker verifi
Autor:
Aldonso Becerra, J. Ismael de la Rosa, Efrén González, A. David Pedroza, N. Iracemi Escalante
Publikováno v:
Multimedia Tools and Applications. 77:27231-27267
The aim of this paper is to exhibit two new variations of the frame-level cost function for training a deep neural network in order to achieve better word error rates in speech recognition. Optimization methods and their minimization functions are un
Autor:
Martínez Cabrera, Juan Manuel1 Klamath135@yahoo.com, Sánchez, Aldonso Becerra2 a7donso@uaz.edu.mx, Valles, Gustavo Zepeda2 gzepeda_@hotmail.com, Correa, Uriel Ramírez-García2 uramirezgc@uaz.edu.mx
Publikováno v:
Revista de la Alta Tecnología y Sociedad. 2017, Vol. 9 Issue 4, p166-173. 8p.