Fernández J.
15
Coauthors
4
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2022 | 3 |
| 2023 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Ciencia de materiales | 3 |
| Material compuesto | 3 |
| Red neuronal artificial | 1 |
| Simulación por computadora | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Ingeniería y operaciones afines | 2 |
| Métodos informáticos especiales | 1 |
| Ciencias de la computación | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 4 |
| Google Scholar | 0 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Ruano M.C. | 4 |
| Juan Chiachío | 4 |
| Corbetta M. | 1 |
| José Barros | 1 |
| Saleh A. | 1 |
| Megía M. | 1 |
| Jalón M.L. | 1 |
| Munoz R. | 1 |
| Herrera F. | 1 |
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Publicaciones del autor
Probabilistic Safety Assessment in Composite Materials using BNN by ABC-SS
Conference ObjectAbstract: Carbon fiber reinforced polymer composites present excellent mechanical properties, however, their bPalabras claves:Autores:Fernández J., Juan Chiachío, Ruano M.C., Saleh A.Fuentes:scopusPhysics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns
ArticleAbstract: This manuscript proposes a physics-guided Bayesian neural network, which combines Approximate-BayesiPalabras claves:Approximate Bayesian Computation, Hybrid models, Physics-guided neural networks, Shear-capacity evaluation, uncertainty quantificationAutores:Corbetta M., Fernández J., José Barros, Juan Chiachío, Ruano M.C.Fuentes:scopusUncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials
ArticleAbstract: Modern machine learning algorithms excel in a great variety of tasks, but at the same time, it is alPalabras claves:Approximate Bayesian Computation, Bayesian Neural Network, Gradient-free training, Non-parametric formulation, Subset simulation, uncertainty quantificationAutores:Fernández J., Herrera F., Juan Chiachío, Munoz R., Ruano M.C.Fuentes:scopusStructural digital twin framework: Formulation and technology integration
ArticleAbstract: This work presents a digital twin framework for structural engineering. The digital twin is conceptuPalabras claves:Bayesian learning, DIGITAL TWIN, internet of things, Petri nets, Structural Health MonitoringAutores:Fernández J., Jalón M.L., Juan Chiachío, Megía M., Ruano M.C.Fuentes:scopus