Detecting Key Indicators of Student Concentration in Mathematics Using TIMSS 2023 Data: An Explainable Machine Learning Approach

Explaining student absenteeism in Morocco using TIMSS 2023 data: a deep learning and explainable AI approach

A motivational account of achievement differences in mathematics using TIMSS data: an African focus

Abstract The article accounts for achievement differences of eighth graders in thr

Explainable Machine Learning for Detecting Fraudulent Online Job Postings in Ghana: A SHAP-Based Approach

Abstract Employment fraud through online job postings is an increasing concern in

Predicting Risky Behavior Among Pregnant Women in Eastern African countries using Pooled Demographic and Health Survey (DHS) Data: An Explainable Machine Learning Approach

Abstract Introduction Consumption of

Using machine learning and infrared spectroscopy for rapid assessment of key entomological indicators of malaria transmission

Summary Malaria vector surveillance is a critical element in control and elimination programs in en

An IoT-based Framework for Detecting Heart Conditions using Machine Learning