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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 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 provides a practical guide to developing artificial intelligence (AI)-based algorithms for oceanographic research. It aims to equip readers with the knowledge to integrate big ocean data into AI models for analysis and optimized results, serving as a foundational text for the growing field of AI oceanography.
The book is positioned as a benchmark for the burgeoning field of AI oceanography, anticipating a significant increase in research within the next decade. Its practical approach, demonstrated through various examples, aims to guide both oceanographers and computer scientists in applying AI techniques to large datasets. The content is structured to provide insights for scholars and graduate students, suggesting a focus on methodological application and data-driven analysis.
Page Count:
346
Publication Date:
2023-02-04
Publisher:
Springer Nature Singapore
ISBN-10:
9811963746
ISBN-13:
9789811963742
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