Archivio Istituzionale della RicercaHEGDE, SHAILESH SUDHAKARA
HEGDE, SHAILESH SUDHAKARA
Dipartimento di Ingegneria Meccanica e Aerospaziale
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A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving
2023 Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Amati, Nicola; Deflorio, FRANCESCO PAOLO; Chiasserini, Carla Fabiana
A Full-fledge Simulation Framework for the Assessment of Connected Cars
2021 Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Chiasserini, Carla Fabiana; Amati, Nicola; Deflorio, FRANCESCO PAOLO; Zennaro, Giuliana
A Reinforcement Learning Approach For Efficient, Safe and Comfortable Driving
2021 Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Amati, Nicola; Chiasserini, Carla Fabiana; Deflorio, FRANCESCO PAOLO
An ML-aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers
2023 Selvaraj, Dinesh Cyril; Hegde, Shailesh; Amati, Nicola; Deflorio, Francesco; Chiasserini, Carla Fabiana
Crankshaft Decoupling Effects on Fuel Economy in HEV-P0
2022 Hegde, Shailesh; Castellanos Molina, Luis M.; Bonfitto, Angelo; Galluzzi, Renato; Amati, Nicola; Tonoli, Andrea
Equivalent Consumption Minimization Strategy Based on Belt Drive System Characteristic Maps for P0 Hybrid Electric Vehicles
2023 Hegde, SHAILESH SUDHAKARA; Bonfitto, Angelo; Galluzzi, Renato; CASTELLANOS MOLINA, LUIS MIGUEL; Amati, Nicola; Tonoli, Andrea
Fatigue monitoring of climbing ropes
2020 Galluzzi, Renato; Feraco, Stefano; Zenerino, Enrico C; Tonoli, Andrea; Bonfitto, Angelo; Hegde, Shailesh
Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles
2021 Hegde, Shailesh; Bonfitto, Angelo; Rahmeh, Hadi; Amati, Nicola; Tonoli, Andrea
Optimal Torque-Vectoring Control Strategy for Energy Efficiency and Vehicle Dynamic Improvement of Battery Electric Vehicles with Multiple Motors
2023 Manca, Raffaele; Castellanos Molina, Luis MIguel; Hegde, Shailesh; Tonoli, Andrea; Amati, Nicola; Pazienza, Luigi
State of Health Estimation of Lithium Batteries for Automotive Applications with Artificial Neural Networks
2019 Bonfitto, Angelo; Ezemobi, ETHELBERT NWABUGWU; Amati, Nicola; Feraco, Stefano; Tonoli, Andrea; Hegde, SHAILESH SUDHAKARA
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving / Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Amati, Nicola; Deflorio, FRANCESCO PAOLO; Chiasserini, Carla Fabiana. - In: APPLIED SCIENCES. - ISSN 2076-3417. - STAMPA. - 13:9(2023). [10.3390/app13095272] | 1-gen-2023 | Dinesh SelvarajShailesh HegdeNicola AmatiFrancesco DeflorioCarla-Fabiana Chiasserini | applsci-13-05272-v2.pdf |
| A Full-fledge Simulation Framework for the Assessment of Connected Cars / Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Chiasserini, Carla Fabiana; Amati, Nicola; Deflorio, FRANCESCO PAOLO; Zennaro, Giuliana. - In: TRANSPORTATION RESEARCH PROCEDIA. - ISSN 2352-1465. - STAMPA. - 52:(2021), pp. 315-322. [10.1016/j.trpro.2021.01.037] | 1-gen-2021 | Dinesh Cyril SelvarajShailesh HegdeCarla Fabiana ChiasseriniNicola AmatiFrancesco Deflorio + | EWGT2020_paper_200.pdf; TransportProcedia_2020.pdf |
| A Reinforcement Learning Approach For Efficient, Safe and Comfortable Driving / Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Amati, Nicola; Chiasserini, Carla Fabiana; Deflorio, FRANCESCO PAOLO. - STAMPA. - (2021). (Intervento presentato al convegno THE 24TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT) 2021 tenutosi a Virtual conference due to COVID-19 nel September 2021). | 1-gen-2021 | Dinesh Cyril SelvarajShailesh HegdeNicola AmatiCarla Fabiana ChiasseriniFrancesco Deflorio | ewgt2021_paper_14.pdf |
| An ML-aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers / Selvaraj, Dinesh Cyril; Hegde, Shailesh; Amati, Nicola; Deflorio, Francesco; Chiasserini, Carla Fabiana. - In: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES. - ISSN 2379-8858. - ELETTRONICO. - 8:2(2023), pp. 1686-1698. [10.1109/TIV.2022.3224656] | 1-gen-2023 | Selvaraj, Dinesh CyrilHegde, ShaileshAmati, NicolaDeflorio, FrancescoChiasserini, Carla Fabiana | ML_DRL_Extension-5.pdf; An_ML-Aided_Reinforcement_Learning_Approach_for_Challenging_Vehicle_Maneuvers.pdf |
| Crankshaft Decoupling Effects on Fuel Economy in HEV-P0 / Hegde, Shailesh; Castellanos Molina, Luis M.; Bonfitto, Angelo; Galluzzi, Renato; Amati, Nicola; Tonoli, Andrea. - ELETTRONICO. - (2022). (Intervento presentato al convegno Volume 1: 24th International Conference on Advanced Vehicle Technologies (AVT) tenutosi a St. Louis, Missouri, USA nel August 14–17, 2022) [10.1115/DETC2022-90014]. | 1-gen-2022 | Hegde, ShaileshCastellanos Molina, Luis M.Bonfitto, AngeloGalluzzi, RenatoAmati, NicolaTonoli, Andrea | v001t01a016-detc2022-90014.pdf |
| Equivalent Consumption Minimization Strategy Based on Belt Drive System Characteristic Maps for P0 Hybrid Electric Vehicles / Hegde, SHAILESH SUDHAKARA; Bonfitto, Angelo; Galluzzi, Renato; CASTELLANOS MOLINA, LUIS MIGUEL; Amati, Nicola; Tonoli, Andrea. - In: ENERGIES. - ISSN 1996-1073. - 16:1(2023), p. 487. [10.3390/en16010487] | 1-gen-2023 | Shailesh HegdeANGELO BONFITTORenato GalluzziLuis Miguel Castellanos MolinaNICOLA AMATITonoli Andrea | energies-16-00487.pdf |
| Fatigue monitoring of climbing ropes / Galluzzi, Renato; Feraco, Stefano; Zenerino, Enrico C; Tonoli, Andrea; Bonfitto, Angelo; Hegde, Shailesh. - In: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART P, JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY. - ISSN 1754-3371. - ELETTRONICO. - (2020), p. 175433712090567. [10.1177/1754337120905674] | 1-gen-2020 | Galluzzi, RenatoFeraco, StefanoZenerino, Enrico CTonoli, AndreaBonfitto, AngeloHegde, Shailesh | main_draft_ropes_v4.pdf; 1754337120905674.pdf |
| Optimal Selection of Equivalence Factors for ECMS in Mild Hybrid Electric Vehicles / Hegde, Shailesh; Bonfitto, Angelo; Rahmeh, Hadi; Amati, Nicola; Tonoli, Andrea. - ELETTRONICO. - 1:(2021), pp. 1-9. (Intervento presentato al convegno ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference tenutosi a Virtuale, online nel 17-19/2021) [10.1115/DETC2021-71621]. | 1-gen-2021 | Hegde, ShaileshBonfitto, AngeloRahmeh, HadiAmati, NicolaTonoli, Andrea | v001t01a019-detc2021-71621.pdf |
| Optimal Torque-Vectoring Control Strategy for Energy Efficiency and Vehicle Dynamic Improvement of Battery Electric Vehicles with Multiple Motors / Manca, Raffaele; Castellanos Molina, Luis MIguel; Hegde, Shailesh; Tonoli, Andrea; Amati, Nicola; Pazienza, Luigi. - In: SAE TECHNICAL PAPER. - ISSN 0148-7191. - ELETTRONICO. - 1:(2023), pp. 1-12. (Intervento presentato al convegno WCX SAE World Congress Experience tenutosi a Detroit (USA) nel 17 - 19 /04/2023) [10.4271/2023-01-0563]. | 1-gen-2023 | Manca, RaffaeleCastellanos Molina, Luis MIguelHegde, ShaileshTonoli, AndreaAmati, Nicola + | SAE_TV.pdf |
| State of Health Estimation of Lithium Batteries for Automotive Applications with Artificial Neural Networks / Bonfitto, Angelo; Ezemobi, ETHELBERT NWABUGWU; Amati, Nicola; Feraco, Stefano; Tonoli, Andrea; Hegde, SHAILESH SUDHAKARA. - (2019), pp. 1-5. (Intervento presentato al convegno 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) tenutosi a Torino) [10.23919/EETA.2019.8804567]. | 1-gen-2019 | Bonfitto, AngeloEZEMOBI, ETHELBERT NWABUGWUAmati, NicolaFERACO, STEFANOTonoli, AndreaHEGDE, SHAILESH SUDHAKARA | - |