Something looks fishy! A philosophical exploration of AI for marine conservation. [PDF]
Ryan M, Korenhof P.
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Modeling of the electrostatic field generated by horizontal current sources in a sea-ice-covered four-layer medium. [PDF]
Chen X +8 more
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SQUID-COMM: a Colossal Squid-inspired distributed communication framework for real-time multi-node aquaculture monitoring networks with adaptive bioluminescent signaling and neuromorphic edge intelligence. [PDF]
Salem AI, Elbaz M, Khalil HM, Loey M.
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Application of Artificial Intelligence in Aquaculture, Processing, Safety, and Traceability in the Industry of Aquatic Products: A Review. [PDF]
Chen J +7 more
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Detection of submarine pipeline and cable targets based on depth feature of high resolution sonar image. [PDF]
Liu D, Jin Z, Chen J, Xu Z.
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Joint Learning Model for Underwater Acoustic Target Recognition
Shengzhao Tian, Duanbing Chen
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Interpretable Features for Underwater Acoustic Target Recognition
Measurement: Journal of the International Measurement Confederation, 2021Abstract The major challenge of underwater acoustic target recognition is that the features clearly characterizing the underwater acoustic targets remain indistinct, where the sound signals are often submerged by intense noise. In this paper, we aim to discover an efficient interpretable feature set that can reveal the inherent mechanism, and result ...
Junjun Jiang +4 more
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Underwater acoustic target recognition on ShipsEar dataset
2023The task of classifying underwater audio source has various marine-oriented applications, including maritime and environmental monitoring, detection of marine life, and underwater surveillance. However, Underwater Acoustic Target Recognition (UATR) remains challenging due to several factors.
Tam Phi, David Han
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Underwater Acoustic Target Recognition Using Software Defined Radio
2023 46th International Conference on Telecommunications and Signal Processing (TSP), 2023One of the important results of ship movement is acoustics noise which contains a lot of ship attributes. With developing technology, the classification of targets problem remains important. Recognition of ships is possible using ships' acoustic trace data.
İlhan, Hacı, Pehlivan, Adil Ugur
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