Abstract: Human activity detection plays a vital role in applications such as healthcare monitoring, smart environments, and security surveillance. However, traditional methods often rely on ...

Abstract: Students tend to struggle in understanding fraction problems even after understanding the whole number concept. This research addresses this challenge by developing a web-based mathematic ...

Demographics, language, social media activity, and temporal features should be considered to maximize the accuracy of depression prediction models. Additionally, the effects of social media platform ...

Background: Postgraduate medical training often lacks clearly defined, assessable outcomes. Entrustable professional activities (EPAs) have emerged as a promising framework for competency-based ...