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: In modern electronic warfare, task assignment is a critical challenge in enabling multiple uncrewed aerial vehicles (UAVs) to perform effective suppressive jamming. However, under ...
ELKTON, KY, UNITED STATES, January 8, 2026 /EINPresswire.com/ — As warmer weather approaches, backyard cooks across the country are beginning to prepare for the ...
CLEVELAND, OH, UNITED STATES, January 12, 2026 /EINPresswire.com/ — consultMSG, formerly Morningside Group, is pleased to announce the launch of its new name and ...
Abstract: We present distributed algorithms for multirobot task assignment where the tasks have to be completed within given deadlines. Each robot has a limited battery life and thus there is an upper ...