Titlebook: Artificial Intelligence Oceanography; Xiaofeng Li,Fan Wang Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s) 2023 Open Acc

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书目名称Artificial Intelligence Oceanography读者反馈学科排名

邪恶的你

Forecasting Tropical Instability Waves Based on Artificial Intelligence,esearch fields inspire us to develop a deep neural network-based DL ocean forecasting model that is driven only by the time series of gridded sea surface temperature (SST) data. The model forecasted the SST pattern variations in the eastern equatorial Pacific Ocean, where a well-known prevailing oce

神圣将军

单纯

,Satellite Data-Driven Internal Solitary Wave Forecast Based on Machine Learning Techniques,emand yet with little progress in recent years. Numerical simulations and empirical methods are mainly used to forecast the propagation of ISWs but suffer from different issues, such as computational cost, time inefficiency, or low accuracy. Accumulating satellite imagery has provided a solid and fu

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温和女孩

Bombast

,Detecting Tropical Cyclogenesis Using Broad Learning System from Satellite Passive Microwave Observe radiometer’s brightness temperature (TB) data, a tropical cyclogenesis prediction model is trained with the broad learning system (BLS). In contrast to the high computational demand of deep networks, BLS is a flatted one with fast training speed. Meanwhile, the incremental learning ability of BLS

玉米棒子

Tropical Cyclone Monitoring Based on Geostationary Satellite Imagery,s and property. Forecasters and emergency responders both rely on accurate TC location and intensity estimates. In this chapter, two deep convolutional neural networks (CNNs) were designed for locating TC centers (CNN-L) and estimating their intensities (CNN-I) from the brightness temperature data o

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largesse

Detection and Analysis of Mesoscale Eddies Based on Deep Learning,ddies have signals on sea surface height (SSH) images, sea surface temperature (SST) images. Previous studies developed automatic eddy identification methods based on SSH or SST. However, single remote sensing data cannot adequately characterize mesoscale eddies. To improve the accuracy and efficien