predictive modeling | Academic Journals and Conferences

Predicting Student Performance in Moroccan Secondary Education: A Machine Learning Framework for Academic Pathway Guidance

This study addresses the lack of region-specific tools for academic counseling in Morocco by proposing a machine learning framework to predict student performance across secondary education pathways. Using academic records of students from the Greater Casablanca region, we evaluate four models – Random Forest, Support Vector Machine (SVM), Decision Tree, and Linear Regression – following a methodology that integrates data preprocessing, feature selection, and synthetic data enrichment to address class imbalance. The Random Forest algorithm achieved an accuracy rate of

Decoding Cesium-137: a Deep Learning Approach to Environmental Prediction

The study delves into the significant environmental threat posed by cesium-137, a byproduct of nuclear mishaps, industrial activities, and past weapons tests. The persistence of cesium-137 disrupts ecosystems by contaminating soil and water, which subsequently affects human health through the food chain. Traditional monitoring techniques like gamma spectroscopy and soil sampling face challenges such as variability and the intensive use of resources.