Characterization and Automated Classification of Underwater Acoustic Environments in the Western Black Sea Using Machine Learning Techniques

Characterization and Automated Classification of Underwater Acoustic Environments in the Western Black Sea Using Machine Learning Techniques

Growing concern over anthropogenic underwater noise, highlighted by initiatives like the Marine Strategy Framework Directive (MSFD) and its Technical Group on Underwater Noise (TG Noise), emphasizes regions like the Western Black Sea, where increasing activities threaten marine habitats. This region...

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Bibliographic Details
Main Author: Maria Emanuela Mihailov
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Journal of Marine Science and Engineering
Subjects:
underwater noise
Black Sea
machine learning (ML)
soundscape analysis
noise source classification
deep learning
Online Access:https://www.mdpi.com/2077-1312/13/7/1352
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