Training a Machine Learning Model for Underwater Chemical Source Localization in Simulated Turbulent Flows-Reference-Cited by-同舟云学术

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Training a Machine Learning Model for Underwater Chemical Source Localization in Simulated Turbulent Flows

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:OCEANS 2022, Hampton Roads
language:
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Author:

Phan Hau¹,Wardlaw Michael J.²,Kim Bruce³,Brockmeier Austin J.⁴

Affiliation:

1. University of Delaware,Department of Electrical and Computer Engineering,Newark,DE,USA

2. Office of Naval Research,Arlington,VA,USA

3. The City College of New York,Department of Electrical Engineering,New York City,NY,USA

4. University of Delaware,Department of Computer and Information Sciences,Newark,DE,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9976950/9976951/09977058.pdf?arnumber=9977058

Reference32 articles.

1. Hilbert's space-filling curve for regions with holes

2. Computational Optimal Transport: With Applications to Data Science

3. Wasserstein gan;arjovsky;ArXiv,2017

4. Howard Berg’s Random Walk through Biology

5. Chemical Plume Tracing via an Autonomous Underwater Vehicle

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