Predicting Flood-Prone Areas with Deep Learning: How U-Net, WU-Net, and U-Net++ Are Changing Disaster ManagementAugust 5, 2025March 1, 2025
Landslide Prediction and Mapping Using Geospatial and Neural Networks: A Game-Changer in Disaster ManagementJune 12, 2025February 14, 2025
Researchers at MANIT Bhopal conducted Landslide Risk Mapping in Sikkim using Geospatial and Machine Learning TechniquesMay 16, 2025February 12, 2025
How Pukyong National University Scientists are Improving Landslide ForecastingApril 14, 2025February 8, 2025
Revolutionizing Earthquake Response: How Drones and AI Are Transforming Damage AssessmentMarch 10, 2025March 11, 2025
Innovative Landslide Zonation Using Machine Learning in Turkey’s Yenice DistrictFebruary 20, 2025February 6, 2025
RF, XGBoost and NGBoost Machine Learning Approaches for Landslide Mapping: Insights from Trabzon Province, TurkeyFebruary 6, 2025February 6, 2025
Landslide Susceptibility in Sikkim’s Rangit River Basin: Ensemble Models to the RescueJanuary 21, 2025February 6, 2025
ANN-Based Landslide Susceptibility Mapping for Koyulhisar: A Study from TurkeyJanuary 19, 2025February 6, 2025
