Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector-Reference-Cited by-同舟云学术

Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector

Published:2022 Issue: Volume:10 Page:119001-119012
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Dairi Abdelkader¹,Harrou Fouzi²^ORCID,Sun Ying²^ORCID

Affiliation:

1. Computer Science Department, University of Science and Technology of Oran-Mohamed Boudiaf (USTO-MB), Bir El Djir, Algeria

2. Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Computer, Saudi Arabia

Funder

King Abdullah University of Science and Technology (KAUST), Office of Sponsored Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09944639.pdf?arnumber=9944639

Reference47 articles.

1. Isolation-Based Anomaly Detection

2. Radar HRRP Target Recognition Based on t-SNE Segmentation and Discriminant Deep Belief Network

3. Variable-weighted FDA combined with t-SNE and multiple extreme learning machines for visual industrial process monitoring

4. t-Distributed Stochastic Neighbor Embedding (t-SNE): A tool for eco-physiological transcriptomic analysis

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