Categorizing the Students’ Activities for Automated Exam Proctoring Using Proposed Deep L2-GraftNet CNN Network and ASO Based Feature Selection Approach
Exam proctoring is a hectic task i.e., the monitoring of students’ activities becomes difficult for supervisors in the examination rooms.It is a costly approach that requires much labor.Also, it is a difficult task for supervisors to keep an eye on all students at a time.Automatic exam activities recognition is therefore necessitating and a