Threat detection and response firm Vectra AI Inc. today outlined a new platform-wide approach to hybrid security that unifies prevention, detection, response and resilience reporting across the full ...

This project implements a hybrid data mining framework that integrates Unsupervised Topic Modeling (LDA) with Large Language Model (LLM) Zero-shot Reasoning to predict Dow Jones Industrial Average ...

Accurate predictions of earthquakes are crucial for disaster preparedness and risk mitigation. Conventional machine learning models like Random Forest, SVR, and XGBoost are frequently used for seismic ...

1 Department of IoT, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India 2 School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, ...

Abstract: This research presents a novel hybrid intrusion detection framework that integrates the Aquila Optimization Algorithm (AOA) for the shortest path selection and the Firefly Algorithm (FFA) ...

Energy and Environment Science & Technology, Idaho National Laboratory, Idaho Falls, Idaho 83415, United States ...

Henry Krumb School of Mines, Earth and Environmental Engineering Department, Columbia University, New York, New York 10027, United States ...

Hertz and other agencies are increasingly relying on scanners that use high-res imaging and A.I. to flag even tiny blemishes, and customers aren’t happy. By Gabe Castro-Root The next time you rent a ...

Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience in software testing and automation. Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience ...