Abstract: We introduce and develop a framework for Multi-Task Temporal Action Segmentation (MT-TAS), a novel paradigm that addresses the challenges of interleaved actions when performing multiple ...

Abstract: Existing works on machine learning (ML)-empowered wireless communication primarily focus on monolithic scenarios and single tasks. However, with the blooming growth of communication task ...

While humans evolved to perform routine endurance activity, recent secular trends in the United States and globally have resulted in a dramatic rise in the amount of time spent inactive in both ...