CATEGORIZING THE STUDENTS’ ACTIVITIES FOR AUTOMATED EXAM PROCTORING USING PROPOSED DEEP L2-GRAFTNET CNN NETWORK AND ASO BASED FEATURE SELECTION APPROACH

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

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Extended Wear Lifetime Calculation for Grease Lubricated Gears in Consideration of Surface Hardness and Roughness

Greases have a variety of advantages when special operating conditions apply for gear lubrication, Swaddles e.g.improved properties against continuous (or slow speed) wear.Often, gears with different surface hardness are combined, in order to reduce costs during manufacturing and heat treatment.However, this has detrimental effect on the wear lifet

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