Artificial Intelligence Oceanography

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:
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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520 |a 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. 
536 |a Institute of Oceanology, Chinese Academy of Sciences 
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650 7 |a Oceanography (seas)  |2 bicssc 
650 7 |a Earth sciences  |2 bicssc 
650 7 |a Information technology: general issues  |2 bicssc 
650 7 |a Geography  |2 bicssc 
650 7 |a Artificial intelligence  |2 bicssc 
650 7 |a Sustainability  |2 bicssc 
653 |a Deep learning 
653 |a Sea surface temperature 
653 |a Hurricane study 
653 |a Coastal inundation mapping 
653 |a Sea surface height 
653 |a Wind study 
653 |a Mesoscale eddy study 
653 |a Ocean internal wave 
653 |a Sea ice 
653 |a Detection of ship 
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