Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...
Abstract: With the increasing penetration of renewables, AC optimal power flow (AC-OPF) problems need to be solved more frequently for reliable and economic power system operation. Supervised learning ...
The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...
Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...
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