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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
Corporate Author: SpringerLink (Online service)
Other Authors: Li, Xiaofeng (Editor), Wang, Fan (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Subjects:
Oceanography.
Atmospheric science.
Geographic information systems.
Artificial intelligence.
Sustainability.
Ocean Sciences.
Atmospheric Science.
Geographical Information System.
Artificial Intelligence.
Online Access:Link to Metadata
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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:XII, 346 p. 183 illus., 169 illus. in color. online resource.
ISBN:9789811963759
DOI:10.1007/978-981-19-6375-9
Access:Open Access

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