E-LIB Suche - Ergebnisse für: Bregon, Anibal

1

Digital Twin Learning Ecosystem: A cyber–physical framework..:

García, Álvaro ; Bregon, Anibal ; Martínez-Prieto, Miguel A.
Internet of Things. 25 (2024) - p. 101094 , 2024

Link: https://doi.org/10.1016/..

2

Multi-route aircraft trajectory prediction using Temporal F..:

Silvestre, Jorge ; Mielgo, Paula ; Bregon, Anibal..
IEEE Access. , 2024

Link: https://doi.org/10.1109/..

3

A deep learning-based approach for predicting in-flight est..:

Silvestre, Jorge ; Martínez-Prieto, Miguel A. ; Bregon, Anibal.
The Journal of Supercomputing. 80 (2024) 12 - p. 17212-17246 , 2024

Link: https://doi.org/10.1007/..

4

Towards aircraft trajectory prediction using LSTM networks:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,

Silvestre, Jorge ; Mielgo, Paula ; Bregon, Anibal.. - p. 1059-1060 , 2024

Link: https://dl.acm.org/doi/1..

5

A non-intrusive Industry 4.0 retrofitting approach for coll..:

García, Álvaro ; Bregon, Anibal ; Martínez-Prieto, Miguel A.
Computers & Industrial Engineering. 164 (2022) - p. 107896 , 2022

Link: https://doi.org/10.1016/..

6

Towards a connected Digital Twin Learning Ecosystem in manu..:

García, Álvaro ; Bregon, Anibal ; Martínez-Prieto, Miguel A.
Computers & Industrial Engineering. 171 (2022) - p. 108463 , 2022

Link: https://doi.org/10.1016/..

7

State space neural networks and model-decomposition methods..:

Pulido, Belarmino ; Zamarreño, Jesús M. ; Merino, Alejandro.
Engineering Applications of Artificial Intelligence. 79 (2019) - p. 67-86 , 2019

Link: https://doi.org/10.1016/..

8

Case Studies and Modeling Formalism:

, In: Fault Diagnosis of Dynamic Systems,

Escobet, Teresa ; Pulido, Belarmino ; Bregon, Anibal. - p. 17-40 , 2019

Link: https://doi.org/10.1007/..

9

Fundamentals of Prognostics:

, In: Fault Diagnosis of Dynamic Systems,

Bregon, Anibal ; Daigle, Matthew J. - p. 409-432 , 2019

Link: https://doi.org/10.1007/..

10

Fault Diagnosis of Dynamic Systems: Quantitative and Qualit..:

Escobet, Teresa ; Bregon, Anibal ; Pulido, Belarmino. - 1st ed. 2019 . , 2019

Link: https://doi.org/10.1007/..

11

A Big Data Architecture for Fault Prognostics of Electronic..:

Alonso-Gonzalez, Carlos J. ; Pulido, Belarmino ; Carton, Mario.
IEEE Access. 7 (2019) - p. 102160-102173 , 2019

Link: https://doi.org/10.1109/..

12

Hybrid Bond-Graph Possible Conflicts for Hybrid Systems Fau..:

, In: Fault Diagnosis of Hybrid Dynamic and Complex Systems,

Alonso-González, Carlos J. ; Pulido, Belarmino ; Bregon, Anibal - p. 123-152 , 2018

Link: https://doi.org/10.1007/..

13

Diagnosis of Hybrid Systems Using Structural Model Decompos..:

, In: Fault Diagnosis of Hybrid Dynamic and Complex Systems,

Daigle, Matthew J. ; Bregon, Anibal ; Roychoudhury, Indranil - p. 179-207 , 2018

Link: https://doi.org/10.1007/..

14

DxPCs: a toolbox for model-based diagnosis of dynamic syste..:

Pulido, Belarmino ; Bregon, Anibal ; Alonso-González, Carlos J....
Progress in Artificial Intelligence. 5 (2016) 2 - p. 111-120 , 2016

Link: https://doi.org/10.1007/..

15

Qualitative Fault Isolation of Hybrid Systems: A Structural..:

Bregon, Anibal ; Daigle, Matthew ; Roychoudhury, Indranil
PHM Society European Conference. 3 (2016) 1 - p. , 2016

Link: https://doi.org/10.36001..