Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Carlos Guerrero-Mendez"'
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3021 (2024)
Symbolic regression plays a crucial role in machine learning and data science by allowing the extraction of meaningful mathematical models directly from data without imposing a specific structure. This level of adaptability is especially beneficial i
Externí odkaz:
https://doaj.org/article/062784a878f94dc48355c904f3567611
Autor:
José Luis Silva-Acosta, Tonatiuh Saucedo-Anaya, Fernando Mendoza-Santoyo, María Del Socorro Hernández-Montes, Carlos Guerrero-Mendez, Daniel Gaytán-Saldaña, Bruno Saucedo-Orozco
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4938 (2024)
The incessant threat posed by the Varroa destructor mite to bee colonies has spurred extensive research into control strategies. One of these strategies involves ultraviolet radiation, aiming to harness the damaging effects that this type of radiatio
Externí odkaz:
https://doaj.org/article/18157738fd414f7981bc9fab95292c25
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4339 (2023)
Optimizing large-scale numerical problems is a significant challenge with numerous real-world applications. The optimization process is complex due to the multi-dimensional search spaces and possesses several locally optimal regions. In response to t
Externí odkaz:
https://doaj.org/article/e8247f24639b41a99bb9fa4c05ea329e
Autor:
Daniela Lopez-Betancur, Ivan Moreno, Carlos Guerrero-Mendez, Tonatiuh Saucedo-Anaya, Efrén González, Carlos Bautista-Capetillo, Julián González-Trinidad
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 6079 (2022)
The great potential of the convolutional neural networks (CNNs) provides novel and alternative ways to monitor important parameters with high accuracy. In this study, we developed a soft sensor model for dynamic processes based on a CNN for the measu
Externí odkaz:
https://doaj.org/article/a210f06934bd439b82afdf81a616cef4
Autor:
Carlos Guerrero-Mendez, Tonatiuh Saucedo-Anaya, Ivan Moreno, Ma. Araiza-Esquivel, Carlos Olvera-Olvera, Daniela Lopez-Betancur
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4974 (2020)
Convolutional neural networks (CNNs) and digital holographic interferometry (DHI) can be combined to improve the calculation efficiency and to simplify the procedures of many DHI applications. In DHI, for the measurements of concentration differences
Externí odkaz:
https://doaj.org/article/8160d74c72be4da5a69f17603a886076
Autor:
Daniela Lopez-Betancur, Ivan Moreno, Carlos Guerrero-Mendez, Domingo Gómez-Meléndez, Manuel de J. Macias P., Carlos Olvera-Olvera
Publikováno v:
Applied Sciences, Vol 10, Iss 1, p 362 (2020)
Light stimulation and biofloc technology can be combined to improve the efficiency and sustainability of tilapia production. A 73-day pilot experiment was conducted to investigate the effect of colored light on growth rates and nutritional compositio
Externí odkaz:
https://doaj.org/article/4a24e87ce212409ca9a5ab01881efe5b
Autor:
Rembrandt Bosco Duran, Rogelia Zambrano Rodríguez, Carlos Guerrero-Mendez, Daniela Lopez-Betancur, Tonatiuh Saucedo Anaya
Publikováno v:
Computación y Sistemas. 25
Las redes neuronales convolucionales (CNNs, por sus siglas en ingles) han demostrado un gran potencial para resolver problemas de clasificacion con imagenes medicas. En esta investigacion, se evaluaron treinta y dos arquitecturas CNNs, y se compararo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d334d81cf8f3d65720be75ae70aa55ce
https://doi.org/10.13053/cys-25-3-3453
https://doi.org/10.13053/cys-25-3-3453
Autor:
Antonio Robles-Guerrero, Salvador Gómez-Jiménez, Tonatiuh Saucedo-Anaya, Daniela López-Betancur, David Navarro-Solís, Carlos Guerrero-Méndez
Publikováno v:
Sensors, Vol 24, Iss 19, p 6384 (2024)
Recent research has demonstrated the effectiveness of convolutional neural networks (CNN) in assessing the health status of bee colonies by classifying acoustic patterns. However, developing a monitoring system using CNNs compared to conventional mac
Externí odkaz:
https://doaj.org/article/fc561eaa3c75497baf654e1f0b4f0bbd
Akademický článek
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Autor:
Carlos Olvera-Olvera, Alfonso López-Martínez, Tonatiuh Saucedo-Anaya, Carlos Guerrero-Mendez, R. E. Balderas-Navarro, M. Araiza-Esquivel
Publikováno v:
Metrology and Measurement Systems, Vol 24, Iss 1, Pp 19-26 (2017)
We present an alternative method to detect and measure the concentration changes in liquid solutions. The method uses Digital Holographic Interferometry (DHI) and is based on measuring refractive index variations. The first hologram is recorded when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a13a1b311053bdf66be200b63f14b6f5
https://doi.org/10.1515/mms-2017-0002
https://doi.org/10.1515/mms-2017-0002