Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Jesus A. Rivas"'
Autor:
Jesus A. Rivas
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/8751875c2c9f4e7fa53bd34d9d7bc2b7
Autor:
Rafael Rodriguez-Venegas, Cesar A. Meza-Herrera, Pedro A. Robles-Trillo, Oscar Angel-Garcia, Jesus S. Rivas-Madero, Rafael Rodriguez-Martínez
Publikováno v:
Agriculture, Vol 12, Iss 6, p 760 (2022)
This study characterized the environmental–climatic trends occurring in the largest dairy cattle intensive production cluster under arid land conditions in northern Mexico. The study was based on the Temperature Humidity Index (THI); it aimed to id
Externí odkaz:
https://doaj.org/article/9381a7b568e548f59e9670fda61c1c1e
Autor:
Andrea Elisa Rojas Arroyo, Jesus Alberto Rivas Villena, Orlando Gregorio-Chaviano, Cesar H. Limaymanta, Rosalia Quiroz Papa de Garcia
Publikováno v:
Scientometrics. 127:6391-6411
The relationship between international collaboration and scientific impact is studied in the context of South American universities. This study aims to comprehensively analyze the strength of this relationship using nonparametric statistical methods.
Autor:
Joaquín Alejandro Quiroz-Mercado, Ricardo Jesus Ríos-Rivas, Víctor Manuel Martínez-Sevilla, Gabriela Chávez-Marín, Hueman Jaimes-Díaz, Juan Carlos Santiago-Hernández, Rogelio Maldonado-Rodríguez, Héctor Rangel-Villalobos
Publikováno v:
Egyptian Journal of Forensic Sciences, Vol 7, Iss 1, Pp 1-9 (2017)
Abstract Background Commercial kits for Human Identification (HID) purposes, based on 15 short tandem repeat (STR) regions, allow the resolution of most forensic and paternity cases. However, some pitfalls arise in situations such as identification o
Externí odkaz:
https://doaj.org/article/3a10fab87d3347d68a1e5d82cbcddd55
Autor:
Lorena Palafox, María del Carmen Lara, Nadia Berthouze, Amanda C de C Williams, Enrique Sucar, Luis R. Castrejón, Jorge Hernández-Franco, Jesus Joel Rivas, Felipe Orihuela-Espina
Publikováno v:
IEEE Transactions on Affective Computing. 13:1183-1194
Computational systems that process multiple affective states may benefit from explicitly considering the interaction between the states to enhance their recognition performance. This work proposes the combination of a multi-label classifier, Circular
Publikováno v:
Fundamental Research and Application of Physical Science Vol. 3 ISBN: 9788119217298
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78735563a5b11f850bc847b80654810e
https://doi.org/10.9734/bpi/fraps/v3/4724c
https://doi.org/10.9734/bpi/fraps/v3/4724c
Autor:
Jesus Alberto Rivas Villena, Alejandro Uribe-Tirado, Cesar H. Limaymanta, Evony Katherine López-Mesa
Publikováno v:
Información, cultura y sociedad. :95-112
Este artículo analiza la producción científica sobre ALFIN (2001-2020) en las áreas de Bibliotecología y Ciencias de la Información. A partir de Latindex, se identificaron todas las revistas de ByCI. Luego se verificó, si dichas revistas, es
Autor:
Manuel Sánchez-Sánchez, Teodoro L. García, Donají Heredia, Isaac Reséndiz, Lorena Cruz, Jacqueline Santiago, Adelina Rojas-Granados, Laura Ubaldo-Reyes, Laura Pérez-Campos-Mayoral, Eduardo Pérez-Campos, Gervasio S. Vásquez, Juan M. Moguel, Romeo Zarate, Oscar García, Luisa Sánchez, Fernando Torres, Alberto Paz, Jesus Elizarraras-Rivas, María T. Hernández-Huerta, Alberto Manuel Angeles Castellanos
Publikováno v:
SSRN Electronic Journal.
Autor:
Freddy del Angel Arrieta, Michelle Rojas Cisneros, Jesus Joel Rivas, Luis R. Castrejon, Luis Enrique Sucar, Javier Andreu-Perez, Felipe Orihuela-Espina
Publikováno v:
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Poor understanding of brain recovery after injury, sparsity of evaluations and limited availability of healthcare services hinders the success of neurorehabilitation programs in rural communities. The availability of neuroimaging ca-pacities in remot
Publikováno v:
9th International Conference on Affective Computing and Intelligent Interaction (ACII)
ACII
ACII
Data from multiple sensors can boost the automatic recognition of multiple affective states in a multilabel and multimodal recognition system. At any time, the streaming from any of the contributing sensors can be missing. This work proposes a method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ce404bb4e13c874af9fe0c37fd5d978
http://hdl.handle.net/10044/1/104858
http://hdl.handle.net/10044/1/104858