CNN Implementation for Detect Cheating in Online Exams During COVID-19 Pandemic: A CVRU Perspective
Materials Today: Proceedings
; 2022.
Article
in English
| Scopus | ID: covidwho-1907552
ABSTRACT
Here, the use of CNN-based technologies is provided with a new method for the detection of fraud during e-exams. This technology will assist providers in identifying any unknown situation during online tests, which are recommended by the majority of governments worldwide owing to the Covid-19 pandemic. Most colleges and students worldwide are severely impacted by their academic programmers, and the universities' role of testing using conventional approaches is a challenge. Thus, the students undergo several of their classes from various kinds of online third-party apps. The universities cannot, however, rely on these service providers for a long time to perform online examinations. Therefore, this work provides a full set-up of computing applications for students who can use them on their own laptops/personal computers with strict university guidance. © 2021
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Materials Today: Proceedings
Year:
2022
Document Type:
Article
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