The machinery behind machine learning is growing more complex, but the bottleneck often shows up in small, unglamorous work: ...
Deep dive into SAML 2.0 architecture for enterprise SSO. Learn how IdPs and SPs exchange XML assertions for secure B2B ...
Abstract: Across the world, floods pose a serious threat to populations, hence precise forecasting techniques required for efficient relief. The objective of this research is to forecast floods in the ...
AI Driven Honeypot for Threat Intelligence is an AI-driven multi-honeypot system designed to collect and analyze attacker behavior in real-time. The project integrates T-Pot honeypots deployed on AWS ...
Abstract: This study explores two advanced machine learning techniques-The Gradient Boost (GB) and Extreme Gradient Boost (XGBoost) for landslide hazard zonation (LHZ) mapping in the Kodagu district ...
Attractive, ready-to-run Google Earth Engine (GEE) script that computes a multi-source AquaCrop assimilation index for Silage Maize. Combines Sentinel-2, MODIS and CHIRPS to produce NDVI, Canopy Cover ...