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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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Principais autores: Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI
Formato: Artigo
Idioma:Inglês
Publicado em: Institute of Fundamental Technological Research Polish Academy of Sciences 2025-06-01
coleção:Archives of Acoustics
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Acesso em linha:https://acoustics.ippt.pan.pl/index.php/aa/article/view/4197
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