Assessing air and noise pollution through acoustic classification of vehicles fuel types using deep learning

Authors

Marko Milivojčević (ORCID: https://orcid.org/0009-0008-8866-2303)
Dejan Ćirić (ORCID: https://orcid.org/0000-0003-4974-3131)
Jurij Prezelj (ORCID: https://orcid.org/0000-0002-8329-3421)
Andrej Hvastja

Institutions

Serbian Academy of Sciences and Arts (RS)
University of Nis (RS)
University of Ljubljana (SI)
Technical College of Applied Sciences (RS)

Publication Details

Journal: Heliyon
Published: 2025-05-01
DOI: https://doi.org/10.1016/j.heliyon.2025.e43426
Citations: 3
Primary Topic: Vehicle Noise and Vibration Control
Type: article
Field-Weighted Citation Impact: 2.05

Funders

European Commission
Javna Agencija za Raziskovalno Dejavnost RS
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja

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article

Assessing air and noise pollution through acoustic classification of vehicles fuel types using deep learning

Marko Milivojčević, Dejan Ćirić, Jurij Prezelj, Andrej Hvastja

May 1, 2025

3 citations

Heliyon

Vehicle Noise and Vibration Control

2.05

article

Assessing air and noise pollution through acoustic classification of vehicles fuel types using deep learning

Marko Milivojčević, Dejan Ćirić, Jurij Prezelj, Andrej Hvastja

May 1, 2025article en

3 citations

Abstract

No abstract available for this paper.

HeliyonVol. 11(10)

Serbian Academy of Sciences and Arts (RS), University of Nis (RS), University of Ljubljana (SI), Technical College of Applied Sciences (RS)

European Commission, Javna Agencija za Raziskovalno Dejavnost RS, Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja

Affordable and clean energy

Openalex Percentile: Top 14%

Vehicle Noise and Vibration Control

2.05

DOI Open Access PDF OpenAlex

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