Educational Data Mining (EDM) has emerged as a vital field of research, which harnesses
the power of computational techniques to analyze educational data. With the increasing …

This study introduces a circular ring and square metasurfaces-based sensor employing
graphene and gold layers for enhanced brain tumor detection. The sensor architecture …

Knowledge tracing is a crucial task that involves modeling learners' knowledge levels and
predicting their future learning performance. However, traditional deep knowledge tracing …

Early time series classification is a variant of the time series classification task, in which a
label must be assigned to the incoming time series as quickly as possible without …

Malaria continues to be a major global health issue, impacting millions each year and
leading to hundreds of thousands of deaths, especially in less developed areas. Timely and …

Brake pads play a vital role in controlling the operation of high-speed trains with over 300
km/h. Currently the copper-based composites produced by powder metallurgy techniques …

Accurate measurement of soil moisture (SM) is crucial for understanding crop growing
conditions, optimizing irrigation practices, and early detection of drought. Synthetic aperture …

Abstract Intelligent Tutoring Systems (ITSs) have significantly enhanced adult literacy
training, a key factor for societal participation, employment opportunities, and lifelong …

This study aims at utilizing machine learning (ML) in predicting the fire resistance and
spalling degree of reinforced concrete (RC) columns with improved accuracy and reliability …

Knowledge tracing aims to predict students' future question-answering performance based
on their historical question-answering records, but the current mainstream knowledge …