E-LIB Suche - Ergebnisse für: Di Barba, Paolo

1

Synthesis of Boundary Conditions in Magnetics: a Neural Net..:

, In: 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC),

Di Barba, Paolo ; Mognaschi, Maria Evelina ; Barmada, Sami.. - p. 1-2 , 2024

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

2

Analytic Continuation, Phase Unwrapping, and Retrieval of t..:

Angiulli, Giovanni ; Versaci, Mario ; Calcagno, Salvatore.
Sensors. 24 (2024) 3 - p. 912 , 2024

Link: https://doi.org/10.3390/..

3

Energy‐based PINNs for solving coupled field problems: Conc..:

Baldan, Marco ; Di Barba, Paolo
IET Science, Measurement & Technology. , 2024

Link: https://doi.org/10.1049/..

4

Spectrogram Inversion for Reconstruction of Electric Curren..:

Lalla, Abderraouf ; Albini, Andrea ; Di Barba, Paolo.
Sensors. 24 (2024) 6 - p. 1798 , 2024

Link: https://doi.org/10.3390/..

5

A Source Identification Problem in Magnetics Solved by Mean..:

Barmada, Sami ; Di Barba, Paolo ; Fontana, Nunzia..
Mathematics. 12 (2024) 6 - p. 859 , 2024

Link: https://doi.org/10.3390/..

6

Multi-objective optimization of a polygeneration grid inclu..:

Ferrari, Mario Luigi ; Gini, Lorenzo ; Di Barba, Paolo..
Journal of Energy Storage. 97 (2024) - p. 112963 , 2024

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

7

A Neural-Network Model for Helping the Synthesis of a Dual-..:

, In: 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC),

Di Barba, Paolo ; Ghafoorinejad, Arash ; Mognaschi, Maria Evelina... - p. 1-2 , 2024

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

8

Curved Domains in Magnetics: A Virtual Element Method Appro..:

Dassi, Franco ; Di Barba, Paolo ; Russo, Alessandro
Electronics. 13 (2024) 11 - p. 2053 , 2024

Link: https://doi.org/10.3390/..

9

Hybrid Boundary Element – Physics Informed Neural Network F..:

, In: 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC),

Barmada, Sami ; Tucci, Mauro ; Formisano, Alessandro.. - p. 1-2 , 2024

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

10

Agent based modeling for intraday electricity markets:

Alberizzi, Andrea ; Di Barba, Paolo ; Ziel, Florian
OPSEARCH. , 2024

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

11

A Deep Learning Approach to Improve the Control of Dynamic ..:

Bertoluzzo, Manuele ; Di Barba, Paolo ; Forzan, Michele..
Energies. 16 (2023) 23 - p. 7865 , 2023

Link: https://doi.org/10.3390/..

12

Physics-Informed Neural Networks for Inverse Electromagneti..:

Baldan, Marco ; Di Barba, Paolo ; Lowther, David A.
IEEE Transactions on Magnetics. 59 (2023) 5 - p. 1-5 , 2023

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

13

Electromagnetic Field Reconstruction and Source Identificat..:

Barmada, Sami ; Barba, Paolo Di ; Fontana, Nunzia..
IEEE Journal on Multiscale and Multiphysics Computational Techniques. 8 (2023) - p. 322-331 , 2023

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

14

Finite Element Evaluation of the Electric Field Distributio..:

Sieni, Elisabetta ; Dettin, Monica ; Zamuner, Annj...
Bioengineering. 10 (2023) 9 - p. 1062 , 2023

Link: https://doi.org/10.3390/..

15

The Electrification of Italian Railway Network Across the P..:

, In: 2023 8th IEEE History of Electrotechnology Conference (HISTELCON),

Di Barba, Paolo ; Galdi, Roberto - p. 158-159 , 2023

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