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 Portafilter all students at a time.Automatic exam activities recognition is therefore necessit

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Dynamics of delayed mosquitoes populations models with two different strategies of releasing sterile mosquitoes

To prevent the transmissions of mosquito-borne diseases (e.g., malaria, dengue fever), recent works have considered the problem of using the sterile insect STRONG technique to reduce or eradicate the wild mosquito population.It is important to consider how reproductive advantage of the wild mosquito population offsets the success of population repl

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Evaluation of the prospects for the use of growth-stimulating complexes of endometabolites of cyanobacteria Arthrospira platensis in soybean cultivation

For the first time, data were obtained on the use of the cyanobacteria Arthrospira platensis endometabolite complex and its modifications, fortified (additionally enriched) with nutrients B, Se, and P in soybean cultivation technology, which acted not only as growth regulators, but also as adaptogens to external abiotic stress factors during the gr

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