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Performance comparison of deep CNN models for detecting dri..:

Srinivasan, Kathiravan ; Garg, Lalit ; Datta, Debajit...
Srinivasan, K., Garg, L., Datta, D., Alaboudi, A. A., Jhanjhi, N. Z., Agarwal, R., & Thomas, A. G. (2021). Performance comparison of deep CNN models for detecting driver's distraction. Computers, Materials & Continua, 68(3), 4109-4124.. , 2021

Link: https://www.um.edu.mt/library/oar/handle/123456789/107..

RT Journal
T1 <Title>Performance comparison of deep CNN models for detecting driver's distraction</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivmalta:oai:www.um.edu.mt:123456789_107297&Exemplar=1&LAN=DE
				
A1 Srinivasan, Kathiravan
A1 Garg, Lalit
A1 Datta, Debajit
A1 Alaboudi, Abdulellah A
A1 Jhanjhi, N. Z
A1 Agarwal, Rishav
A1 Thomas, Anmol George
PB Tech Science Press
YR 2021
K1 Automobile drivers -- Safety measures
K1 Neural networks (Computer science) -- Technological innovations
K1 Neural networks (Computer science) -- Software
K1 Computer network architectures
K1 Traffic safety -- Technological innovations
JF Srinivasan, K., Garg, L., Datta, D., Alaboudi, A. A., Jhanjhi, N. Z., Agarwal, R., & Thomas, A. G. (2021). Performance comparison of deep CNN models for detecting driver's distraction. Computers, Materials & Continua, 68(3), 4109-4124.
LK http://dx.doi.org/https://www.um.edu.mt/library/oar/handle/123456789/107297
DO https://www.um.edu.mt/library/oar/handle/123456789/107297
SF ELIB - SuUB Bremen

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