Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder-Reference-Cited by-同舟云学术

Driver identification based on hidden feature extraction by using adaptive nonnegativity-constrained autoencoder

Published:2019-01 Issue: Volume:74 Page:1-9
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Jie^ORCID,Wu ZhongCheng,Zhang Jun

Publisher

Elsevier BV

Subject

Software

Reference55 articles.

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4. K.M.A. Alheeti, A. Gruebler, K.D. Mcdonald-Maier, An intrusion detection system against malicious attacks on the communication network of driverless cars, in: 12th Annual IEEE Consumer Communications and Networking Conference, 2015, pp. 916-921.

5. Real-Time detection of denial-of-service attacks in IEEE 802.11p Vehicular Networks;Lyamin;IEEE Commun. Lett.,2014

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