Abstract: Sea surface wind speed (SSWS) is an important oceanic dynamical parameter, extensively utilized in numerical simulations of climate change and weather forecasts, as well as in storm ...
This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...
Abstract: Earthquake early warning can effectively reduce the potential earthquake damage and is extremely strict to the sensor location and identification time. Distributed fiber acoustic sensing ...
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