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 ...

Mealworms and superworms may nibble at one of the world's most stubborn plastics, but new research from The University of Western Australia shows they can't actually break it down. In a study led by ...

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 ...

This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them. If you’ve heard rumors that Social Security is on the ...

"One man's trash is another man's treasure" is a phrase often thrown around, especially as the NFL regular season draws closer. With less than three weeks before the 2025 season kicks off in ...