Artificial Intelligence Oceanography
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Beschreibung
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.
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.
This book is open access, which means that you have free and unlimited access Includes abundant case studies to guide the readers on how to utilize AI in assisting oceanography research Reveals multi-subject oceanic research topics that were successfully solved by the AI methodology Acts as a benchmark AI guidebook for oceanographers, meteorologist, remote sensing researchers with broad impact
Autor*in
Xiaofeng Li
Themen in »Artificial Intelligence Oceanography«
Open Access 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