Abstract: This study proposes a tourism route optimization algorithm based on reinforcement learning, which achieves multi-objective optimization (such as shortest time, lowest cost, best experience, ...

Abstract: This work focuses on advancing the usage of a specific optimization algorithm called Particle Swarm Optimization (PSO) for optimizing the placement of sensor nodes for the WSN system to ...

Using the GBM algorithm to predict the subsequent 3-month OUD risk, the top decile subgroup had a positive predictive value of 3.26%, a negative predictive value of 99.8%, and a number needed to ...