[HTML][HTML] A systematic review of the literature on machine learning application of determining the attributes influencing academic performance

I Issah, O Appiah, P Appiahene, F Inusah - Decision analytics journal, 2023 - Elsevier
Academic institutions operate in an extremely demanding and competitive environment.
Some difficulties confronting most schools are delivering high-quality education to the …

Cmbatting COVID-19: Artificial Intelligence Technologies & Challenges

N Patel, S Trivedi, JM Chatterjee - ScienceOpen Preprints, 2022 - scienceopen.com
AI works proficiently to emulate human intellect. It may also play an important role in
understanding and recommending the creation of a COVID-19 vaccine. This outcome-driven …

Enhancing drought resilience: machine learning–based vulnerability assessment in Uttar Pradesh, India

B Kundu, NK Rana, S Kundu - Environmental Science and Pollution …, 2024 - Springer
Drought is a natural and complex climatic hazard. It has both natural and social
connotations. The purpose of this study is to use machine learning methods (MLAs) for …

Factors affecting the men's health literacy in Malaysia

A Idham - ScienceOpen Preprints, 2022 - scienceopen.com
Men's average life expectancy in Malaysia is about 5 years less than women's. There are
certain health hurdles that men encounter more than women. Men often have health issues …

[PDF][PDF] Adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) for predicting the kinematic viscosity and density of biodiesel-petroleum …

Y Kassem, H Çamur, KE Bennur - American Journal of Computer …, 2018 - researchgate.net
Biodiesel is considered as an alternative source of energy obtained from renewable
materials. In the present paper, the investigation of the applicability of adaptive neuro-fuzzy …

Predictive Identification of At-Risk Students: Using Learning Management System Data

JB Osborne, ASID Lang - Journal of Postsecondary Student …, 2023 - journals.flvc.org
This paper describes a neural network model that can be used to detect at-risk students
failing a particular course using only grade book data from a learning management system …

The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges

O Bulut, M Beiting-Parrish, JM Casabianca… - arXiv preprint arXiv …, 2024 - arxiv.org
The integration of artificial intelligence (AI) in educational measurement has revolutionized
assessment methods, enabling automated scoring, rapid content analysis, and personalized …

[PDF][PDF] Artificial Corona algorithm to solve multi-objective programming problems

AY Gebreel - American Journal of Artificial Intelligence, 2022 - researchgate.net
Multi-objective optimization is a branch of mathematics used in a large range of applications.
It deals with optimization problems involving two or more conflicting objective functions to be …

Increasing the Effectiveness of Higher Education Academic Services Through the Implementation of the Chatbot Platform Using the SVM Machine Learning Algorithm

L Setiyani - Jurnal Pedagogi dan Pembelajaran, 2023 - ejournal.undiksha.ac.id
The education sector has adopted technology and digitization. To create appropriate
technology that can increase the effectiveness and efficiency of existing processes in …

[PDF][PDF] An Efficient Phishing Website Detection Plugin Service for Existing Web Browsers Using Random Forest Classifier

AM John-Otumu, M Rahman… - American Journal of …, 2021 - researchgate.net
An efficient phishing website detection plugin service was developed using machine
learning technique based on the prevalent phishing threat while using existing web …