SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features-Reference-Cited by-同舟云学术

SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features

Published:2023-08 Issue: Volume:123 Page:106332
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Bag Subhajit^ORCID,Golder Rahul^ORCID,Sarkar Sobhan^ORCID,Maity Saptashwa

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

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4. Crash severity analysis in distracted driving using unlabeled and imbalanced data: A novel approach using robust two-phase ensemble predictor;Bag,2022

5. Towards computationally efficient and realtime distracted driver detection with mobilevgg network;Baheti;IEEE Trans. Intell. Veh.,2020

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