This paper presents a comprehensive study of Convolutional Neural Networks (CNN) and
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …

Our aim was to assess sleep quality in different subgroups of preclinical medical students,
and then to identify specific lifestyle factors, academic and social factors as well as Corona …

The prediction of student performance, allows teachers to track student results to react and
make decisions that affect their learning and performance, given the importance of …

The World Health Organization (WHO) reported the covid-19 epidemic a global health
emergency on January 30 and confirmed its transformation into a pandemic on March 11 …

Purpose: When a website or application is designed and deployed rapidly as a response to
an urgent need, it may not satisfy users. Therefore, we decided to investigate users' attitudes …

Heart illnesses are among the most significant contributors to mortality in the world in the
modern era. Heart attacks are responsible for the death of one person every 33 seconds …

Due to increasingly global cultural exchanges, people are more conscious about the
importance of mastering a foreign language. Language translation and helping students in …

In this paper, we apply data mining techniques and machine learning algorithms using R
software, which is used to predict, here we applied a regression model to test some factor on …

Widely-used term-weighting schemes and machine learning (ML) classifiers with default
parameter settings were assessed for their performance when applied to environmental big …

Educational institutions are increasingly focused on supporting students who may be facing
academic challenges, aiming to enhance their educational outcomes through targeted …