| 청구기호 |
GC1-1581 |
| 형태사항 |
XII, 346 p. 183 illus., 169 illus. in color. online resource.
|
| 언어 |
English |
| 내용 |
Theory and technology of artificial intelligence for oceanography -- Satellite data-driven internal wave forecast model based on machine learning techniques -- Detection and analysis of marine macroalgae based on artificial intelligence -- Tropical cyclone intensity estimation from geostationary satellite imagery -- Reconstructing marine environmental data based on deep learning -- Detecting oceanic processes from space-borne sar imagery using machine learning -- Deep convolutional neural networks-based coastal inundation mapping for un-defined least developed countries: taking madagascar and mozambique as examples -- Ai- based mesoscale eddy study -- Classifying sea ice types from sar images based on deep fully convolutional networks -- Detecting ships and extracting ship's size from SAR images based on deep learning -- Quality control of ocean temperature and salinity data based on machine learning technology -- automatic extraction of internal wave signature from multiple satellite sensors based on deep convolutional neural networks -- Automatic extraction of waterlines from large-scale tidal flats on SAR images and applications based on deep convolutional neural networks -- Forecast of tropical instability waves using deep learning -- Sea surface height prediction based on artificial intelligence.
|
| 주제 |
Oceanography.
Atmospheric science.
Geographic information systems.
Artificial intelligence.
Sustainability.
Ocean Sciences.
Atmospheric Science.
Geographical Information System.
Artificial Intelligence.
Sustainability.
|
| 보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9789811963742
Printed edition: 9789811963766
Printed edition: 9789811963773
|
| ISBN |
9789811963759 |
| 기타 표준번호 |
10.1007/978-981-19-6375-9 |
