Clustering analysis for classifying student academic performance in higher education

AF Mohamed Nafuri, NS Sani, NFA Zainudin… - Applied Sciences, 2022 - mdpi.com
There are three income categories for Malaysians: the top 20%(T20), the middle 40%(M40),
and the bottom 40%(B40). The government has extended B40′ s access to higher …

Revolutionizing transportation: the future impact of green energy

M Avesh, I Hossain, RC Sharma - Dynamics of transportation ecosystem …, 2024 - Springer
This paper deals with the Transportation Systems and Green Energy, spotlighting the crucial
challenge of curbing CO2 emissions in the ever-evolving landscape of transportation energy …

Enhancing the Early Student Dropout Prediction Model Through Clustering Analysis of Students' Digital Traces

J Pecuchova, M Drlik - IEEE Access, 2024 - ieeexplore.ieee.org
Educational Data Mining and learning analytics have gained significant prominence in
recent years, garnering attention from researchers worldwide. This is primarily due to their …

[PDF][PDF] Student classification based on cognitive abilities and predicting learning performances using machine learning models

TPR Vital, K Sangeeta, KK Kumar - International Journal of …, 2021 - researchgate.net
Education is the vital parameter of the country for development in divergent areas like
cultivation, economic, political, health, and so on. Any educational Institute's (universities …

[PDF][PDF] Predicting students' academic performance through machine learning classifiers: A study employing the Naive Bayes Classifier (NBC)

X Zheng, C Li - … Journal of Advanced Computer Science & …, 2024 - pdfs.semanticscholar.org
Modern universities must strategically analyze and manage student performance, utilizing
knowledge discovery and data mining to extract valuable insights and enhance efficiency …

Empirical statistical analysis and cluster studies on socio-economic status (SES) dataset

V Balasankar, SSV Penumatsa… - IOP Conference Series …, 2021 - iopscience.iop.org
Socio-economic status (SES) levels and conditions are extremely influential variables in the
study of a particular area of society or any society. Social factors, for instance, the position of …

Student cognitive learning capability (sclc) prediction system using pca-ann based model

PV Terlapu, M Yugandhar, B Ramesh… - 2022 International …, 2022 - ieeexplore.ieee.org
Educational institutions and education system play the important role in any society or
country for development in all aspects like agriculture, industrial, economic and political …

Drinkers Voice Recognition Intelligent System: An Ensemble Stacking Machine Learning Approach

PV Terlapu - Annals of Data Science, 2024 - Springer
Alcohol's dehydrating effects can cause vocal cords to dry out, potentially causing temporary
voice changes and increasing the risk of vocal strain or damage. Short-term changes in …

Improving On-Time Performance: Predicting Train Delays with Machine Learning Techniques

RC Sharma, I Hossain, A Kumar - Dynamics of Transportation Ecosystem …, 2024 - Springer
The paper discusses the Indian railway system, the fourth-largest rail network in the world,
and identifies a prevalent issue experienced by railway passengers—train delays. The …

Analyzing Proficiency Patterns in Test Results Using Clustering and Augmentation Algorithms

E Deviatiarova, S Fadeev, A Dukhanov - Procedia Computer Science, 2023 - Elsevier
This research investigates the utilization of student clustering based on test results and its
potential impact on student grouping interpretation. The primary objective is to discern …