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Using Deep Autoencoders for In-Vehicle Audio Anomaly Detection

AuthID
P-00V-X8Y

Author(s)

Pereira, PJ

Coelho, G

Ribeiro, A

Matos, LM

Nunes, EC

Ferreira, A

Pilastri, A

Cortez, P

Editor(es)

Watrobski,J;Salabun,W;Toro,C;Zanni Merk,C;Howlett,RJ;Jain,LC

Tipo de Documento

Proceedings Paper

Year published

2021

Publicado

in KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021) in Procedia Computer Science, ISSN: 1877-0509

Volume: 192, Páginas: 298-307 (10)

Conference

25Th Kes International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (Kes), Date: SEP 08-10, 2021, Location: Szczecin, POLAND, Patrocinadores: KES Int

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Publication Identifiers

DOI: 10.1016/j.procs.2021.08.031

SCOPUS: 2-s2.0-85116903171

Wos: WOS:000720289000030

Source Identifiers

ISSN: 1877-0509

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Using Deep Autoencoders for In-Vehicle Audio Anomaly Detection

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Using Deep Autoencoders for In-Vehicle Audio Anomaly Detection

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