TUCCI, MAURO Statistiche

TUCCI, MAURO  

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

Mostra records
Risultati 1 - 20 di 138 (tempo di esecuzione: 0.048 secondi).
Titolo Data di pubblicazione Autore(i) File
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
Brayton pumped thermal energy storage: Optimal dispatchment in multi-energy districts 1-gen-2024 Ghilardi, Alessandra; Frate, Guido Francesco; Kyprianidis, Konstantinos; Tucci, Mauro; Ferrari, Lorenzo
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 Approaches for Inverse Problems and Optimal Design in Electromagnetism 1-gen-2024 Formisano, A.; Tucci, M.
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.
Machine Learning Models for Regional Photovoltaic Power Generation Forecasting with Limited Plant-Specific Data 1-gen-2024 Tucci, M.; Piazzi, A.; Thomopulos, D.
Autoencoder-based Fault Diagnosis for Hydropower Plants 1-gen-2023 Hajimohammadali, F.; Fontana, N.; Tucci, M.; Crisostomi, E.
Benefits of thermal load forecasts in balancing load fluctuations through thermal storage 1-gen-2023 Ghilardi, A; Frate, Gf; Tucci, M; Bravi, M; Leo, R; Ferrari, L
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
Hourly Water Level Forecasting in an Hydroelectric Basin Using Spatial Interpolation and Artificial Intelligence 1-gen-2023 Tucci, Mauro
Learning-Based Approaches to Current Identification from Magnetic Sensors 1-gen-2023 Barmada, Sami; Di Barba, Paolo; Formisano, Alessandro; Mognaschi, Maria Evelina; Tucci, Mauro
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.
YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Detection in Aerial Imagery 1-gen-2023 Betti, A.; Tucci, M.
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.
A Deep Learning Surrogate Model for Topology Optimization 1-gen-2021 Barmada, S; Fontana, N; Formisano, A; Thomopulos, D; Tucci, M
A multi-objective methodology for evaluating the investment in building-integrated hybrid renewable energy systems 1-gen-2021 Aloini, D.; Dulmin, R.; Mininno, V.; Raugi, M.; Schito, E.; Testi, D.; Tucci, M.; Zerbino, P.
A regularized procedure to generate a deep learning model for topology optimization of electromagnetic devices 1-gen-2021 Tucci, M.; Barmada, S.; Formisano, A.; Thomopulos, D.