Machine learning models for predicting unconfined compressive strength: A case study for Precambrian basement complex rocks from Ado-Ekiti, Southwestern Nigeria

<b>Interpretable Machine Learning-Based Mathematical Models for Predicting Unconfined Compressive Strength of Lateritic Soils in Southwest, Nigeria</b>

The mining of lateritic soils is widely practiced across tropical regions, particularly

Hydrogeophysical Characterization for Landfill Site Suitability Assessment in Basement Complex Terrains: A Case Study from Southwestern Nigeria

Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production

In this work, we leverage Machine Learning to accurately predict the 28-day compressiv

Major oxide geochemistry and petrogenetic implications of Pan-African rocks around Omi-Olori, Ado-Ekiti Area, Southwestern, Nigeria

This study presents whole-rock major oxide geochemical data for selected Pan-African basement rocks

Hydrogeophysical investigation of groundwater potential and aquifer vulnerability prediction in basement complex terrain – A case study from Akure, Southwestern Nigeria

Abstract This study provides a model for the prediction of groundwater potential an

Kinetics, Isotherm and Thermodynamic Properties of the Basement Complex of Clay Deposit in Ire-Ekiti Southwestern Nigeria for Heavy Metals Removal