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Advanced VANET Technology for Emergency Vehicle Safety in T..:
, In:
2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
,
N, Murali
;
David, D. Beulah
- p. 1-8 , 2023
Link:
https://doi.org/10.1109/ICONSTEM56934.2023.10142332
RT T1 <cTitle>2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)</cTitle>: T1 <Title>Advanced VANET Technology for Emergency Vehicle Safety in Time-Critical Scenario</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10142332&Exemplar=1&LAN=DE A1 N, Murali A1 David, D. Beulah YR 2023 K1 Machine learning algorithms K1 Urban areas K1 Vehicular ad hoc networks K1 Machine learning K1 Object detection K1 Safety K1 Automobiles K1 Intelligent Transport System K1 Machine Learning K1 DT-YOLO K1 VANET K1 Object Dedication K1 LIDAT K1 Wireless Communication SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/ICONSTEM56934.2023.10142332 DO https://doi.org/10.1109/ICONSTEM56934.2023.10142332 SF ELIB - SuUB Bremen
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