Tesis Leídas
Curso 2022-2023
TÍTULO: Real Time Performance Analysis of an Optimized Linear Disruption Predictor in JET
- AUTOR: Dhaval Gadariya
- DIRECTOR: Jesús Antonio Vega Sánchez / Sebastián Dormido Canto
- PUBLICACIONES
- D. Gadariya, J. Vega, C. Stuart3, G. Rattá, P. Card, A. Murari, S. Dormido-Canto, Performance analysis of the centroid method predictor implemented in the JET real time network. Plasma Physics and Controlled Fusion, Volume 64, 2022, https://doi.org/10.1088/1361-6587/ac963f
- FECHA LECTURA: 29/06/2023
- PROGRAMA: RD 99/2011
TÍTULO: PEM fuel cell spatial homogeneity and temporal stability study using long-term dynamic simulations
- AUTOR: Sergi Cubret i Cortada
- DIRECTOR: Miguel Ángel Rubio González
- PUBLICACIONES:
- S. Culubret, M.A. Rubio, D.G. Sanchez, A. Urquia, Dynamic modeling of the effect of water management on polymer electrolyte fuel cells performance, International Journal of Hydrogen Energy, Volume 45, Issue 9, pp. 5710-5722, 2020, https://doi.org/10.1016/j.ijhydene.2019.07.176
- FECHA LECTURA: 30/03/2023
- PROGRAMA: RD 99/2011
TÍTULO: Modelo combinado basado en redes neuronales recurrentes y redes convolucionales de grafos para la predicción de series temporales económicas
- AUTOR: Ana Lazcano de Rojas
- DIRECTOR: Pedro Javier Herrera Caro / Manuel Ángel Monge Moreno
- PUBLICACIONES:
- Lazcano, A.; Herrera, P.J.; Monge, M., A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting. Mathematics, Volume 11, Issue 224, 2023, https://doi.org/10.3390/math11010224
- FECHA LECTURA: 27/03/2023
- PROGRAMA: RD 99/2011