In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Scientific Machine Learning (SciML) represents a multi-disciplinary approach that fuses the physical laws governing a system (such as equations from physics or engineering) with data-driven machine ...

Abstract: With the rapid development of intelligent manufacturing, quality inspection and defect recognition have become one of the key technologies to improve production efficiency and product ...

Abstract: Conventional image signal processing (ISP) control algorithms based on human visual perception are insufficient for the demands of modern machine vision systems. Although recent ...

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...