In this paper, an IoT and deep learning-based comprehensive study to reduce the effects of
COVID-19 on the education system is presented. The proposed system consists of an edge …

In this article, we introduce a web-based malware detection system that leverages a deep-
learning approach. Our primary objective is the development of a robust deep-learning …

Traditional attendance recording methods can be replaced with artificial intelligence (AI)
methods. This paper aims to develop an automated attendance system with a user-friendly …

In Moroccan higher education, the integrity of examinations is paramount, yet it faces the
persistent challenge of identity impersonation. This form of academic dishonesty not only …

In this study, an iris recognition technique based on enhanced EnhanceDeepIris model is
proposed in order to examine iris recognition at a deeper level. The process first uses …

The smart classroom is a fully automated classroom where repetitive tasks, including
attendance registration, are automatically performed. Due to recent advances in artificial …

The goal of this research is to create a sophisticated system for gathering student data that is
suitable for use in classroom settings. The approach begins with taking pictures of every …

Identity impersonation in higher education exams is an old and widespread cheating
phenomenon that builds incompetent graduates. In the world of artificial intelligence, there …

Many researchers have make efforts on creating several attendance systems to keep track of
student attendance in school which is also part of academic curriculum that will have great …

The monitoring of student attendance is a crucial aspect of the assessment of academic
performance. The conventional methods for monitoring student attendance have inherent …