Abstract: Most of existing path finding problems focused on searching a path with the minimum cost, such as shortest-path length and shortest travel time. In this paper, we consider a new path finding ...

Abstract: The arduous and costly journey of drug discovery is increasingly intersecting with computational approaches, which promise to accelerate the analysis of bioassays and biomedical literature.

Federal emergency management officials have launched a comprehensive funding initiative designed to enhance security preparations for one of the world's ...

A state-of-the-art framework for intelligent cloud load balancing using Deep Reinforcement Learning. This project bridges the gap between cloud simulation and AI-driven optimization, providing ...