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1
Artificial intelligence-based machine learning data classif..:
, In:
2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
,
Aradi, Attila
;
Karoly Varga, Attila
- p. 449-453 , 2023
Link:
https://doi.org/10.1109/MetroSea58055.2023.10317350
RT T1 <cTitle>2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)</cTitle>: T1 <Title>Artificial intelligence-based machine learning data classification for the analysis of underwater noise of ship traffic and bottlenose dolphin sounds</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10317350&Exemplar=1&LAN=DE A1 Aradi, Attila A1 Karoly Varga, Attila YR 2023 K1 Shape K1 Sonar measurements K1 Sonar K1 Artificial neural networks K1 Lakes K1 Recording K1 Noise measurement K1 hydrophone K1 soundscape K1 bioacoustics K1 deep learning K1 machine learning K1 artificial intelligence K1 underwater noise K1 acoustic communication of cetaceans K1 underwater sound classification K1 neural network (NN) SP 449 OP 453 LK http://dx.doi.org/https://doi.org/10.1109/MetroSea58055.2023.10317350 DO https://doi.org/10.1109/MetroSea58055.2023.10317350 SF ELIB - SuUB Bremen
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