For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving ...
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: This brief proposes a hierarchical predefined time optimal secondary control strategy for microgrid systems with external disturbances. Unlike traditional control methods, the key ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results