Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: This study explores optimizing the Traveling Salesman Problem (TSP) using Q-Learning reinforcement learning. The proposed method builds a Q-table to learn the optimal path and employs ...

A coastal town facing "mounting pressure from swift expansion" must take urgent action to address a major challenge. Dawlish stands as one of Devon's flourishing seaside destinations, yet local ...

From drug discovery and education to economics and earth science, SMU researchers are using AI to tackle a wide range of real-world challenges. SMU’s high-performance computing capabilities — made up ...