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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.
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.