GEE and R scripts for national-scale SOC mapping in Togo using Random Forest and explainable AI (SHAP/PDP)

Explainable Detection of Obfuscated Malicious PowerShell Scripts Using CodeBERT, Random Forest, and Multi-Method SHAP Explainable Detection of Obfuscated Malicious PowerShell Scripts Using CodeBERT, Random Forest, and Multi-Method SHAP

This dataset contains the complete supplementary materials for the paper "Explainable Detection of O

Explainable AI for Malaria Diagnosis: Comparative Analysis of ML Models Using Random Forest Feature Selection and SHAP Interpretability

International audience Malaria remains one of the most significant causes of morbidit

GEE and R scripts for woody cover mapping and degradation analysis — Toliara II district, southwestern Madagascar (1989–2025)

This repository contains the Google Earth Engine (GEE) JavaScript scripts and R scripts use

Explainable Machine Learning for Predicting Land Surface Temperature Dynamics in Southern Kaduna, Nigeria: A Random Forest and SHAP-Based Approach

Egyptian Hieroglyphics Handwriting Character Classification Using CNN with Explainable AI: SHAP and LIME

Google Earth Engine Scripts and Supporting Data for Random Forest-Based Landslide Susceptibility Mapping in Hanang District, Tanzania

This repository contains the Google Earth Engine (GEE) scripts and supporting datasets used to devel