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IoT Based Traffic Management, Accident Detection, and Accid..:

, In: Proceedings of the 2nd International Conference on Computing Advancements,

Hasan, Fahim ; Khan Sarat, Wahid Imam ; Khan, Salim... - p. 249-253 , 2022

Link: https://dl.acm.org/doi/10.1145/3542954.3542991

RT 
T1 <cTitle>Proceedings of the 2nd International Conference on Computing Advancements</cTitle>: T1 <Title>IoT Based Traffic Management, Accident Detection, and Accident Prevention System Using Machine Learning Method</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3542991&Exemplar=1&LAN=DE
				
A1 Hasan, Fahim
A1 Khan Sarat, Wahid Imam
A1 Khan, Salim
A1 Hossain, Md Lokman
A1 Islam, Mohammad Touhidul
A1 Ibrahim, Md.
PB ACM
YR 2022
K1 Accident Detection
K1 Accident-prevention
K1 Google Services
K1 IoT
K1 Machine Learning
K1 Traffic Jam
K1 General and reference
K1 Document types
K1 Computing standards, RFCs and guidelines
K1 Hardware
K1 Communication hardware, interfaces and storage
K1 Sensor devices and platforms
K1 Software and its engineering
K1 Software notations and tools
K1 Context specific languages
K1 API languages
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by regression
K1 Information systems
K1 Information storage systems
K1 Storage architectures
K1 Cloud based storage
SP 249
OP 253
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3542954.3542991
DO https://dl.acm.org/doi/10.1145/3542954.3542991
SF ELIB - SuUB Bremen

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