BARMADA, SAMI Statistiche

BARMADA, SAMI  

DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA, DEI SISTEMI, DEL TERRITORIO E DELLE COSTRUZIONI  

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Risultati 1 - 20 di 180 (tempo di esecuzione: 0.054 secondi).
Titolo Data di pubblicazione Autore(i) File
A feature selection and ensemble learning based methodology for transformer fault diagnosis 1-gen-2024 Rao, Shaowei; Zou, Guoping; Yang, Shiyou; Barmada, Sami
A Source Identification Problem in Magnetics Solved by Means of Deep Learning Methods 1-gen-2024 Barmada, Sami; Di Barba, Paolo; Fontana, Nunzia; Evelina Mognaschi, Maria; Tucci, Mauro
Lightning Location and Peak Current Estimation From Lightning-Induced Voltages on Transmission Lines With a Machine Learning Approach 1-gen-2024 Nicora, M.; Tucci, M.; Barmada, S.; Brignone, M.; Procopio, R.
Machine Learning for the Design and the Simulation of Radiofrequency Magnetic Resonance Coils: Literature Review, Challenges, and Perspectives 1-gen-2024 Giovannetti, G.; Fontana, N.; Flori, A.; Santarelli, M. F.; Tucci, M.; Positano, V.; Barmada, S.; Frijia, F.
Open-Ended Coaxial Probe for Effective Reconstruction of Biopsy-Excised Tissues’ Dielectric Properties 1-gen-2024 Canicattì, Eliana; Fontana, Nunzia; Barmada, Sami; Monorchio, Agostino
A Novel Coil Architecture for Interoperability and Tolerance to Misalignment in Electric Vehicle WPT 1-gen-2023 Barmada, Sami; Musolino, Antonino; Zhu, Junda; Yang, Shiyou
Convolutional neural networks applied to dissolved gas analysis for power transformers condition monitoring 1-gen-2023 Rao, Shaowei; Yang, Shiyou; Tucci, Mauro; Barmada, Sami
Deep Neural Network Based Electro-Mechanical Optimization of Electric Motors 1-gen-2023 Barmada, S.; Tucci, M.; Sani, L.; Tozzo, C.
Electromagnetic Field Reconstruction and Source Identification Using Conditional Variational Autoencoder and CNN 1-gen-2023 Barmada, S; Barba, Pd; Fontana, N; Mognaschi, Me; Tucci, M
Impact of Nearby Lightning Strikes on Wireless Power Transfer Ground Assembly 1-gen-2023 Formisano, A.; Barmada, S.; Raugi, M.
Introducing energy into marine environments: A lab-scale static magnetic field submarine cable simulation and its effects on sperm and larval development on a reef forming serpulid 1-gen-2023 Oliva, Matteo; De Marchi, Lucia; Cuccaro, Alessia; Fumagalli, Giorgia; Freitas, Rosa; Fontana, Nunzia; Raugi, Marco; Barmada, Sami; Pretti, Carlo
Learning-Based Approaches to Current Identification from Magnetic Sensors 1-gen-2023 Barmada, Sami; Di Barba, Paolo; Formisano, Alessandro; Mognaschi, Maria Evelina; Tucci, Mauro
On the Spiral Resonator Arrays Size Analysis for Misalignment Compensation in Wireless Power Transfer Systems 1-gen-2023 Fontana, N.; Barmada, S.; Raugi, M.
Optimal Metamaterial Configuration for Magnetic Field Shielding in Wireless Power Transfer Systems 1-gen-2023 Simonazzi, Mattia; Sandrolini, Leonardo; Barmada, Sami; Fontana, Nunzia
Optimal Terminations of 2D Meta-Surfaces for Uniform Magnetic Field Applications 1-gen-2023 Barmada, S.; Fontana, N.; Sandrolini, L.; Simonazzi, M.
Physics-informed Neural Networks for the Resolution of Analysis Problems in Electromagnetics 1-gen-2023 Barmada, S.; Barba, P. D.; Formisano, A.; Mognaschi, M. E.; Tucci, M.
Two-port network compact representation of resonator arrays for wireless power transfer with variable receiver position 1-gen-2023 Sandrolini, L.; Simonazzi, M.; Barmada, S.; Fontana, N.
An Efficient Method for the Computation of Electromagnetic Fields Associated With Tortuous Lightning Channels 1-gen-2022 Brignone, M.; Nicora, M.; Mestriner, D.; Procopio, R.; Petrarca, C.; Formisano, A.; Barmada, S.; Delfino, F.
Deep learning as a tool for inverse problems resolution: a case study 1-gen-2022 Barmada, S; Formisano, A; Thomopulos, D; Tucci, M
Deep Neural Network Based Electro-Mechanical Optimization of Electric Motors 1-gen-2022 Barmada, S.; Tucci, M.; Sani, L.; Tozzo, C.