كتاب إلكتروني

Artificial Intelligence Oceanography

التفاصيل البيبلوغرافية
العنوان: Artificial Intelligence Oceanography
المساهمون: Li, Xiaofeng, Wang, Fan
بيانات النشر: Singapore: Springer Nature; Springer Nature Singapore, 2023.
سنة النشر: 2023
المجموعة: Books
Imported or submitted locally
Original Material: 1220cbe3-ca3a-4650-9c38-153380312b32
6c6992af-b843-4f46-859c-f6e9998e40d5
مصطلحات موضوعية: 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, thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBK Hydrology and the hydrosphere::RBKC Oceanography (seas and oceans), thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences, thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics, thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence, thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability
الوصف: 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.
ملاحظة حول المحتويات: ...
نوع الوثيقة: book
وصف الملف: application/pdf
اللغة: English
ردمك: 978-981-19637-5-9
981-19637-5-4
DOI: 10.1007/978-981-19-6375-9
الوصول الحر: https://library.oapen.org/handle/20.500.12657/61327Test
حقوق: URL: http://creativecommons.org/licenses/by-nc-nd/4.0Test/
ملاحظات: ONIX_20230213_9789811963759_62

https://link.springer.com/978-981-19-6375-9Test

Institute of Oceanology, Chinese Academy of Sciences
رقم الانضمام: edsoap.20.500.12657.61327
قاعدة البيانات: OAPEN Library
الوصف
ردمك:9789811963759
9811963754
DOI:10.1007/978-981-19-6375-9