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eNauka >  Results >  Analysis of unsupervised learning approach for classification of vehicle fuel type using psychoacoustic features
Title: Analysis of unsupervised learning approach for classification of vehicle fuel type using psychoacoustic features
Authors: Milivojcevic, Marko M; Ciric, Dejan G  ; Prezelj, Jurij; Murovec, Jure
Issue Date: 2024
Publication: MEASUREMENT
ISSN: 0263-2241 Measurement Search Idenfier
Type: Article
Collation: vol. 227 str. 114318-114318
DOI: 10.1016/j.measurement.2024.114318
WoS-ID: 001198525300001
Scopus-ID: 2-s2.0-85185549870
URI: https://enauka.gov.rs/handle/123456789/937364
Project: Slovenian Research Agency [P2-0401]
Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451- 03-47/2023-01/200102]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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