Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Leonardo, Ledesma"'
Autor:
Leonardo Ledesma-Dominguez, Erik Carbajal-Degante, Gabriel Moreno-Hagelsieb, Ernesto Pérez-Rueda
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Deep learning models (DLMs) have gained importance in predicting, detecting, translating, and classifying a diversity of inputs. In bioinformatics, DLMs have been used to predict protein structures, transcription factor-binding sites, and pr
Externí odkaz:
https://doaj.org/article/a57e838fde374b9aa17f0e0e5b4b5edf
Autor:
Jussara Malo-Castillo, Harold Jiménez-Álvarez, Victor Ludeña-Meléndez, Solange Sarasvati Mayor Castro, Sheyla Rodríguez, Paula Ishikawa-Arias, Cristhian Terrones, Leonardo Ledesma Chavarría, Edgardo Linares Reyes, Virgilio E. Failoc-Rojas
Publikováno v:
Vaccines, Vol 12, Iss 4, p 400 (2024)
Booster vaccines are a strategy to mitigate the conditions in the health, social, and economic fields that the COVID-19 pandemic has brought. A series of adverse effects have been observed since the first vaccination. The present investigation aims t
Externí odkaz:
https://doaj.org/article/338d2e7f676c4bb0905f5f3b27ca558e
Autor:
Leonardo Ledesma
Publikováno v:
Quinto Sol, Vol 19, Iss 3, Pp 1-5 (2015)
Externí odkaz:
https://doaj.org/article/7f0f0f0c95ec43baa8a42db7ca97e309
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2516
DNA-binding transcription factors (TFs) play a central role in the gene expression of all organisms, from viruses to humans, including bacteria and archaea. The role of these proteins is the fate of gene expression in the context of environmental cha
Publikováno v:
Prokaryotic Gene Regulation ISBN: 9781071624128
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa82c19cbb0e9b1b75955483b5d5af3e
https://doi.org/10.1007/978-1-0716-2413-5_7
https://doi.org/10.1007/978-1-0716-2413-5_7
Autor:
Leonardo Ledesma, Boris Escalante-Ramírez, Steve Avendaño, Erik Carbajal-Degante, Jimena Olveres
Publikováno v:
Optics, Photonics and Digital Technologies for Imaging Applications VI.
Active contour-based methods are widely popular in the image segmentation field. Basically, they perform a semiautomatic region identification by partitioning the image content mainly into the foreground and background. Nevertheless, the accurate del
Autor:
Leonardo Ledesma
Publikováno v:
Mundo Agrario, Vol 10, Iss 19 (2009)
Externí odkaz:
https://doaj.org/article/4c278ba3bb1a41d29b9fd4ab14188a1b
Autor:
Leonardo Ledesma, Jimena Olveres, Erik Carbajal-Degante, Boris Escalante-Ramírez, Enrique Vallejo, Steve Avendaño
Publikováno v:
Computer Methods and Programs in Biomedicine. 211:106373
Background: Left and right ventricle automatic segmentation remains one of the more important tasks in computed aided diagnosis. Active contours have shown to be efficient for this task, however they often require user interaction to provide the init
Autor:
Leonardo Ledesma Watson
'Ledesma actualiza el sentir del barrio de Matute y de la ciudad. Sus personajes están al filo de la ley, en insospechados laberintos que los pueden elevar a la redención'. Martín Roldán Ruiz El pulso que recorre estos cuentos halla su origen en
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
Convolutional Neural Networks (CNNs) have become a fundamental methodology in Computer Vision, specifically in image classification and object detection tasks. Artificial Intelligence has focused much of its efforts in the different research areas of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b34fc6758eed2f8dc58049b2bea2af0
https://doi.org/10.1007/978-3-030-33904-3_37
https://doi.org/10.1007/978-3-030-33904-3_37