Abstract: With the increasing integration of measurement devices, the control and observation of power distribution systems have become significantly more dependent on cyberspace, making them more ...
RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
Abstract: The past two decades have witnessed the development of fault detection (FD) methods in the field of high-speed trains. This trend is the consequence of the increasing requirement for safe ...
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