Transfer learning for efficient classification of grouper sound.

Ibrahim, Ali K; Zhuang, Hanqi; Chérubin, Laurent M; Schärer-Umpierre, Michelle T; Nemeth, Richard S; Erdol, Nurgun; Ali, Ali Muhamed

Ibrahim, Ali K; Zhuang, Hanqi; Chérubin, Laurent M; Schärer-Umpierre, Michelle T; Nemeth, Richard S; Erdol, Nurgun; Ali, Ali Muhamed.

Afiliação

Ibrahim AK; Harbor Branch Oceanographic Institute, Florida Atlantic University, 5600 US1 North, Fort Pierce, Florida 34946, USA.
Zhuang H; Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida 33431, USA.
Chérubin LM; Harbor Branch Oceanographic Institute, Florida Atlantic University, 5600 US1 North, Fort Pierce, Florida 34946, USA.
Schärer-Umpierre MT; HJR Reefscaping, P.O. Box 1442, Boquerón, Puerto Rico 00622, USA.
Nemeth RS; Center for Marine and Environmental Studies, University of Virgin Islands, 2 John Brewers Bay, St. Thomas, US Virgin Islands 00802, USAaibrahim2014@fau.edu, zhuang@fau.edu, lcherubin@fau.edu, michelle.scharer@upr.edu, amuhamedali2014@fau.edu, rnemeth@uvi.edu, erdol@fau.edu.
Erdol N; Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida 33431, USA.
Ali AM; Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, Florida 33431, USA.

J Acoust Soc Am ; 148(3): EL260, 2020 09.

Article em En | MEDLINE | ID: mdl-33003883

Assuntos

Bass; Animais; Humanos; Aprendizagem; Aprendizado de Máquina; Redes Neurais de Computação; Som

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bass Limite: Animals / Humans Idioma: En Revista: J Acoust Soc Am Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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