In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

This paper considers the 1-bit compressed sensing (1-bit CS) of signals that are simultaneously sparse and gradient sparse. Since L1-norm and total variation (TV) penalties are beneficial for ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

The Hydrodynamics Regularization module is a plug-and-play component that can be seamlessly integrated into any reinforcement learning algorithm, demonstrating excellent generalizability.