A reinforcement learning approach to tackle illegal, unreported and unregulated fishing-Reference-Cited by-同舟云学术

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A reinforcement learning approach to tackle illegal, unreported and unregulated fishing

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Akinbulire Tolulope,Schwartz Howard,Falcon Rafael,Abielmona Rami

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8267146/8280782/08285315.pdf?arnumber=8285315

Cited by 7 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. COBAC: An Adaptive Transhipment Station Localization for Reducing IUU Fishing Practices;Wireless Personal Communications;2024-03

2. Impacts of the COVID-19 Epidemic on Ship Activity in Dongying Port Waters;IEEE Journal on Miniaturization for Air and Space Systems;2022-12

3. Identification of IUU Transshipment Activity Using AIS Data;2022 3rd International Conference for Emerging Technology (INCET);2022-05-27

4. Study on the Activity Laws of Fishing Vessels in China’s Sea Areas in Winter and Spring and the Effects of the COVID-19 Pandemic Based on AIS Data;Frontiers in Marine Science;2022-04-28

5. Exploring the potential impacts of machine learning on trust in fishery management;Fish and Fisheries;2022-03-21

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