Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena-Reference-Cited by-同舟云学术

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Computational Intelligence Approach for the Analysis of Estuary Hypoxia Phenomena

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Durand Guillaume¹,Valdes Julio J.²,Coffin Michael³,Hussain Md Monwer⁴,Poirier Luke³

Affiliation:

1. National Research Council Canada Moncton,New-Brunswick,Canada

2. National Research Council Canada Ottawa,Ontario,Canada

3. Department of Fisheries and Oceans Canada,Moncton,New-Brunswick,Canada

4. University of New-Brunswick Fredericton,New-Brunswick,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892492.pdf?arnumber=9892492

Reference24 articles.

1. Exact Indexing of Dynamic Time Warping

3. Novel criteria for determination of material model parameters

4. VAT: a tool for visual assessment of (cluster) tendency

5. Clustering in ordered dissimilarity data

Cited by 2 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. Forecasting Hypoxia Events in North Atlantic Ecosystems Using Chaotic Dynamics;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Machine learning-based prediction of seasonal hypoxia in eutrophic estuary using capacitive potentiometric sensor;Marine Environmental Research;2024-04

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