Hand gesture for communication has proven effective for humans, and active research is
ongoing in replicating the same success in computer vision systems. Human–computer …

Educational Data Mining (EDM) and Learning Analytics (LA) research have emerged as
interesting areas of research, which are unfolding useful knowledge from educational …

Student attrition among undergraduate students is among the most concerned issues in
higher educational institutions in Malaysia and abroad. This problem arises when these …

Data mining applications are becoming a more common tool in understanding and solving
educational and administrative problems in higher education. In general, research in …

Recognition of dynamic hand gestures in real-time is a difficult task because the system can
never know when or from where the gesture starts and ends in a video stream. Many …

Any human–computer interaction application needs to be able to recognize gestures. Hand
gesture detection systems that recognize gestures in real time can improve human …

Nowadays, both predictive and descriptive modelling play a key role in decision-making
processes in almost every branch of activity. In this article we are introducing, a generic …

Document Segmentation is a process that aims to filter documents while identifying certain
regions of interest. Generally, the regions of interest include texts, graphics (image occupied …

The main purpose of the Educational Data Mining domain is to provide additional insights
into the students' learning mechanism and thus to offer a better understanding of the …

This research investigates school scope classification using Deep Neural Networks (DNN),
focusing on students living environments and educational opportunities. By addressing the …