Deep blue artificial intelligence for knowledge discovery of the intermediate ocean

Deep blue artificial intelligence for knowledge discovery of the intermediate ocean

Oceans at a depth ranging from ~100 to ~1000-m (defined as the intermediate water here), though poorly understood compared to the sea surface, is a critical layer of the Earth system where many important oceanographic processes take place. Advances in ocean observation and computer technology have a...

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Bibliographic Details
Main Authors: Ge Chen, Baoxiang Huang, Jie Yang, Milena Radenkovic, Linyao Ge, Chuanchuan Cao, Xiaoyan Chen, Linghui Xia, Guiyan Han, Ying Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Marine Science
Subjects:
deep blue artificial intelligence
intermediate ocean
ocean remote sensing
associative statistical neural network
physically informed neural network
mathematically driven neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2022.1034188/full

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https://www.frontiersin.org/articles/10.3389/fmars.2022.1034188/full

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