Distracted driver detection using learning representations-Reference-Cited by-同舟云学术

Distracted driver detection using learning representations

Published:2023-02-13 Issue:15 Volume:82 Page:22777-22794
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sharma Sahil^ORCID,Kumar Vijay

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14635-3.pdf

Reference42 articles.

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3. Ali A, Zhu Y, Chen Q, Yu J, Cai H (2019) Leveraging spatio-temporal patterns for predicting citywide traffic crowd flows using deep hybrid neural networks. IEEE 25th international conference on parallel and distributed systems (ICPADS), pp 125–132. https://doi.org/10.1109/ICPADS47876.2019.00025

4. Ali A, Zhu Y, Zakarya M (2021) A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing. Multimed Tools Appl 80:31401–31433. https://doi.org/10.1007/s11042-020-10486-4

5. Ali A, Zhu Y, Zakarya M (2021) Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks. Inf Sci (NY) 577:852–870. https://doi.org/10.1016/J.INS.2021.08.042

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