Jamia Millia Islamia

Landslide susceptibility mapping using Frequency Ratio, Random Forest, and XGBoost Models along NH-7 between Nandprayag and Vishnuprayag

Landslides are a significant natural hazard in mountainous regions, causing substantial environmental and socio-economic damage. This study aims to evaluate landslide susceptibility using Frequency Ratio (FR), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) models in...

Machine learning-driven prediction and optimization of turbulence-enhanced multi-effect distillation system for efficient water treatment

Multi-effect distillation (MED) is one of the most energy-efficient thermal desalination technologies for freshwater production using low-grade heat; however, its performance is constrained by limited heat-transfer efficiency and the lack of accurate predictive tools for process...