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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A High-Frequency Vibration Error Compensation Method for Terahertz SAR Imaging Based on Short-Time Fourier Transform

High-frequency vibration error of a moving radar platform easily introduces a non-negligible phase of periodic modulation in radar echoes and greatly degrades terahertz synthetic aperture radar (THz-SAR) image quality.For solving the problem of THz-SAR image-quality degradation, the paper proposes a multi-component high-frequency vibration error es

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