Zobrazeno 1 - 10
of 1 972
pro vyhledávání: '"Cruz Fernando"'
Autor:
Oliveira Alexandre, Cunha Emanuel, Cruz Fernando, Capela João, Sequeira João C., Sampaio Marta, Sampaio Cláudia, Dias Oscar
Publikováno v:
Journal of Integrative Bioinformatics, Vol 19, Iss 3, Pp 1-18 (2022)
Genome-scale metabolic models (GEMs) are essential tools for in silico phenotype prediction and strain optimisation. The most straightforward GEMs reconstruction approach uses published models as templates to generate the initial draft, requiring fur
Externí odkaz:
https://doaj.org/article/8be05f62131046e1b74ad322c688fe19
Autor:
Carlos Arturo Vázquez-Chacón, Felipe de Jesús Rodríguez-Gaxiola, Cruz Fernando López-Carrera, Mayra Cruz-Rivera, Armando Martínez-Guarneros, Ricardo Parra-Unda, Eliakym Arámbula-Meraz, Salvador Fonseca-Coronado, Gilberto Vaughan, Paúl Alexis López-Durán
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 17, Iss 1, p e0011076 (2023)
[This corrects the article DOI: 10.1371/journal.pntd.0009145.].
Externí odkaz:
https://doaj.org/article/febc5b49545441828f9d1042fd458c9d
Autor:
Manav, Manav, Perraudin, Nathanael, Lin, Yunong, Afrasiabi, Mohamadreza, Perez-Cruz, Fernando, Bambach, Markus, De Lorenzis, Laura
We present a data-driven, differentiable neural network model designed to learn the temperature field, its gradient, and the cooling rate, while implicitly representing the melt pool boundary as a level set in laser powder bed fusion. The physics-gui
Externí odkaz:
http://arxiv.org/abs/2411.18048
Autor:
María Fernanda Quintero-Soto, Ramona Julieta Espinoza-Moreno, Jennifer Vianey Félix-Medina, Fernando Salas-López, Cruz Fernando López-Carrera, Oscar Daniel Argüelles-López, Martha Elena Vazquez-Ontiveros, Mario Armando Gómez-Favela
Publikováno v:
Foods, Vol 11, Iss 20, p 3175 (2022)
In this research functional beverages based on the unprocessed and extruded sesame seeds byproduct were fabricated; phytochemical profile, antioxidant, antidiabetic, and hypoglycemic potential were evaluated. Twenty-four phytochemical compounds were
Externí odkaz:
https://doaj.org/article/0f42a427892c4cfc87617a2792eb7a8f
Autor:
Marks, Markus, Knott, Manuel, Kondapaneni, Neehar, Cole, Elijah, Defraeye, Thijs, Perez-Cruz, Fernando, Perona, Pietro
Self-supervised learning (SSL) is a machine learning approach where the data itself provides supervision, eliminating the need for external labels. The model is forced to learn about the data structure or context by solving a pretext task. With SSL,
Externí odkaz:
http://arxiv.org/abs/2407.12210
Deep learning models are widely used in traffic forecasting and have achieved state-of-the-art prediction accuracy. However, the black-box nature of those models makes the results difficult to interpret by users. This study aims to leverage an Explai
Externí odkaz:
http://arxiv.org/abs/2405.00456
Autor:
Carlos Arturo Vázquez-Chacón, Felipe de Jesús Rodríguez-Gaxiola, Cruz Fernando López-Carrera, Mayra Cruz-Rivera, Armando Martínez-Guarneros, Ricardo Parra-Unda, Eliakym Arámbula-Meraz, Salvador Fonseca-Coronado, Gilberto Vaughan, Paúl Alexis López-Durán
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 15, Iss 2, p e0009145 (2021)
Identifying the Mycobacterium tuberculosis resistance mutation patterns is of the utmost importance to assure proper patient's management and devising of control programs aimed to limit spread of disease. Zoonotic Mycobacterium bovis infection still
Externí odkaz:
https://doaj.org/article/f57e12cd9c0c4534ae699c35dda9db08
Autor:
Hitaj, Dorjan, Pagnotta, Giulio, De Gaspari, Fabio, Ruko, Sediola, Hitaj, Briland, Mancini, Luigi V., Perez-Cruz, Fernando
Training high-quality deep learning models is a challenging task due to computational and technical requirements. A growing number of individuals, institutions, and companies increasingly rely on pre-trained, third-party models made available in publ
Externí odkaz:
http://arxiv.org/abs/2403.03593
Diffusion probabilistic models (DPMs) have rapidly evolved to be one of the predominant generative models for the simulation of synthetic data, for instance, for computer vision, audio, natural language processing, or biomolecule generation. Here, we
Externí odkaz:
http://arxiv.org/abs/2402.12242