Student performance prediction model based on supervised machine learning algorithms

AS Hashim, WA Awadh… - IOP conference series …, 2020 - iopscience.iop.org
Higher education institutions aim to forecast student success which is an important research
subject. Forecasting student success can enable teachers to prevent students from dropping …

Recent trends in computational intelligence for educational big data analysis

AC Ikegwu, HF Nweke, CV Anikwe - Iran Journal of Computer Science, 2024 - Springer
Educational big data analytics and computational intelligence have transformed our
understanding of learning ability and computing power, catalyzing the emergence of …

Modern art education and teaching based on artificial intelligence

W Zhang, A Shankar, A Antonidoss - Journal of Interconnection …, 2022 - World Scientific
The rapid advancement of artificial intelligence has been intensely employed in art teaching
and learning. Including the advancement of smart technologies, there are various difficulties …

Machine learning prediction approach to enhance congestion control in 5G IoT environment

IA Najm, AK Hamoud, J Lloret, I Bosch - Electronics, 2019 - mdpi.com
The 5G network is a next-generation wireless form of communication and the latest mobile
technology. In practice, 5G utilizes the Internet of Things (IoT) to work in high-traffic networks …

Predicting academic performance through data mining: a systematic literature

A Daza, C Guerra, N Cervera, E Burgos - TEM Journal, 2022 - ceeol.com
The main objective of this work is to make a systematic review of the literature on the
prediction of the academic performance of university students by applying data mining …

[PDF][PDF] Implementing data-driven decision support system based on independent educational data mart

AK Hamoud, KH Marwah, Z Alhilfi… - … Journal of Electrical …, 2021 - pdfs.semanticscholar.org
Decision makers in the educational field always seek new technologies and tools, which
provide solid, fast answers that can support decision-making process. They need a platform …

OLAP Mining with Educational Data Mart to Predict Students' Performance

IA Najm, JM Dahr, AK Hamoud, AS Alasady… - Informatica, 2022 - informatica.si
Academic institutions always try to use a solid platform for supporting their short-to-long term
decisions related to academic performance. These platforms utilize the historical data and …

[PDF][PDF] Implementing sales decision support system using data mart based on olap, kpi, and data mining approaches

JM Dahr, AK Hamoud, IA Najm… - Journal of engineering …, 2022 - jestec.taylors.edu.my
Organizations and companies endeavour to expand their resources, margin of profit, and a
robust management system. Managers seek tools that adapt the organizational data into …

[PDF][PDF] Predicting academic performance using a multiclassification model: Case study

AD Vergaray, C Guerra, N Cervera… - International Journal of …, 2022 - academia.edu
Now-a-days predicting the academic performance of students is increasingly possible,
thanks to the constant use of computer systems that store a large amount of student …

What static analysis can utmost offer for Android malware detection

AT Kabakus - Information Technology and Control, 2019 - itc.ktu.lt
Malicious applications are widespread for Android despite the taken serious actions by the
operating system. Static and dynamic analysis techniques are utilized to detect malware by …