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Communications in Applied and Industrial Mathematics
Volume 13 (2022): Issue 1 (January 2022)
Open Access
Deep learning-assisted analysis of automobiles handling performances
Davide Sapienza
Davide Sapienza
Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia
Modena, Italy
Department of Mathematical, Physical and Computer Sciences, University of Parma
Italy
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Sapienza, Davide
,
Davide Paganelli
Davide Paganelli
Vehicle Dynamics, Maserati
Modena, Italy
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Paganelli, Davide
,
Marco Prato
Marco Prato
Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia
Modena, Italy
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Prato, Marco
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Marko Bertogna
Marko Bertogna
Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emilia
Modena, Italy
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Bertogna, Marko
and
Matteo Spallanzani
Matteo Spallanzani
Departement Informationstechnologie und Elektrotechnik, ETH Zürich
Zürich, Switzerland
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Spallanzani, Matteo
Dec 24, 2022
Communications in Applied and Industrial Mathematics
Volume 13 (2022): Issue 1 (January 2022)
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Published Online:
Dec 24, 2022
Page range:
78 - 95
Received:
Apr 26, 2022
Accepted:
Nov 09, 2022
DOI:
https://doi.org/10.2478/caim-2022-0007
Keywords
Automotive engineering
,
Automobiles design
,
Deep learning
,
Saliency maps
,
Attention mechanisms
© 2022 Davide Sapienza et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
