Pandolfi, Alfonso
Pandolfi, Alfonso
Dipartimento di Ingegneria Industriale/DIIN
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Risultati 1 - 4 di 4 (tempo di esecuzione: 0.004 secondi).
A Modified Enhanced Driver Model for Heavy-Duty Vehicles with Safe Deceleration
2023-01-01 Shiledar, A.; Villani, M.; Rizzoni, G.; Adinolfi, E. A.; Pandolfi, A.; Paolino, A.; Pianese, C.
Machine Learning Based Design of Optimal Energy Management Strategy for Hydrogen-Fueled Hybrid Vehicle Powertrain
2024-01-01 Cervone, Davide; Sicilia, Massimo; Pandolfi, Alfonso; Polverino, Pierpaolo; Sementa, Paolo; Arsie, Ivan; Pianese, Cesare
Real-Time Prediction of Fuel Consumption via Recurrent Neural Network (RNN) for Monitoring, Route Planning Optimization and CO2 Reduction of Heavy-Duty Vehicles
2023-01-01 Pandolfi, Alfonso; Adinolfi, Ennio Andrea; Polverino, Pierpaolo; Pianese, Cesare
RISK BASED APPROACH TO ASSESS TECHNO ECONOMIC FEASIBILITY OF GAS TURBINE COMPONENT LIFE EXTENSION
2021-01-01 Meyer, Jean-Louis; Morsili, Salah; Pandolfi, Alfonso; Simeoni, Ugo; Sorrentino, Marco
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Modified Enhanced Driver Model for Heavy-Duty Vehicles with Safe Deceleration | 1-gen-2023 | Shiledar, A.; Villani, M.; Rizzoni, G.; Adinolfi, E. A.; Pandolfi, A.; Paolino, A.; Pianese, C. | |
Machine Learning Based Design of Optimal Energy Management Strategy for Hydrogen-Fueled Hybrid Vehicle Powertrain | 1-gen-2024 | Cervone, Davide; Sicilia, Massimo; Pandolfi, Alfonso; Polverino, Pierpaolo; Sementa, Paolo; Arsie, Ivan; Pianese, Cesare | |
Real-Time Prediction of Fuel Consumption via Recurrent Neural Network (RNN) for Monitoring, Route Planning Optimization and CO2 Reduction of Heavy-Duty Vehicles | 1-gen-2023 | Pandolfi, Alfonso; Adinolfi, Ennio Andrea; Polverino, Pierpaolo; Pianese, Cesare | |
RISK BASED APPROACH TO ASSESS TECHNO ECONOMIC FEASIBILITY OF GAS TURBINE COMPONENT LIFE EXTENSION | 1-gen-2021 | Meyer, Jean-Louis; Morsili, Salah; Pandolfi, Alfonso; Simeoni, Ugo; Sorrentino, Marco |