Dictionary learning has emerged as a pivotal technique in modern image processing, forming the basis for effective sparse representation in image classification tasks. By constructing an overcomplete ...

Abstract: Dictionary learning is widely used in fault diagnosis due to its strong representational capability. However, weak high-speed bearing fault signals are dense in the time domain and sparse in ...

Abstract: Received signal strength (RSS) based device-free localization (DFL) is commonly used in the Internet of Things (IoT) field. However, the current DFL algorithms have limitations in terms of ...

Introduction: Problem-based learning (PBL) tutorials are recognized as an effective strategy for building clinical and research skills in modern-day medical education. Despite the wide adoption of ...

Tutorials are held weekly on-campus, with each session lasting three contact hours with a total of about 14 tutorials per semester. They are designed to bridge the theoretical knowledge from the ...