Artificial Intelligence Oceanography

Artificial Intelligence Oceanography

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This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The nu...

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Bibliographic Details
Other Authors: Li, Xiaofeng (Editor), Wang, Fan (Editor)
Format: Electronic Book Chapter
Language:English
Published: Singapore Springer Nature 2023
Subjects:
Oceanography (seas)
Earth sciences
Information technology: general issues
Geography
Artificial intelligence
Sustainability
Deep learning
Sea surface temperature
Hurricane study
Coastal inundation mapping
Sea surface height
Wind study
Mesoscale eddy study
Ocean internal wave
Sea ice
Detection of ship
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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Summary:This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing.
Physical Description:1 electronic resource (346 p.)
ISBN:978-981-19-6375-9
9789811963759
Access:Open Access

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