Detecting Submerged Objects Using Active Acoustics and Deep Neural Networks: a Test Case for Pelagic Fish-Reference-Cited by-同舟云学术

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Detecting Submerged Objects Using Active Acoustics and Deep Neural Networks: a Test Case for Pelagic Fish

Published:2020 Issue: Volume: Page:1-1
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Testolin Alberto,Kipnis Dror,Diamant Roee

Funder

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09292992.pdf?arnumber=9292992

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution;IEEE Access;2024

2. Underwater acoustic target recognition using RCRNN and wavelet-auditory feature;Multimedia Tools and Applications;2023-10-26

3. Classification of Herring, Salmon, and Bubbles in Multifrequency Echograms Using U-Net Neural Networks;IEEE Journal of Oceanic Engineering;2023-10

4. Underwater Acoustic Signal Classification using Hierarchical Audio Transformer with Noisy Input;2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP);2023-09-17

5. Thermal fish detection system using Deep learning;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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