CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer

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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer

Underwater acoustic target classification has become a key area of research for marine vessel classification, where machine learning (ML) models are leveraged to identify targets automatically. The major challenge is inserting area-specific understanding into ML frameworks to extract features that e...

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Autori principali:	Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI
Natura:	Articolo
Lingua:	inglese
Pubblicazione:	Institute of Fundamental Technological Research Polish Academy of Sciences 2025-06-01
Serie:	Archives of Acoustics
Soggetti:	underwater acoustic targets capse vision transformer cnn lofar gram
Accesso online:	https://acoustics.ippt.pan.pl/index.php/aa/article/view/4197
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