As if the Miasma situation weren't bad enough, now this weapon is spreading like wildfire. Someone open sourced the entire ...

Abstract: Anomaly detection in Vehicular Ad Hoc Networks (VANETs) using machine learning-based data analytics is critical for safeguarding intelligent transportation systems from cyber threats and ...

This solution accelerator demonstrates how industrial enterprises, energy companies, logistics companies and companies in other industries can leverage Microsoft Fabric to monitor and maintain ...

Real-time detection of anomalies in data streams is a foundation of modern applied analysis in complex systems. It enables experts to design rapid, efficient, reliable, and high-performance decision ...

-- Results from the Phase 1/2 Trial are a Foundation for the Ongoing Pivotal Study of Soficabtagene Geleucel for R/R T-Cell ALL/ LBL in Pediatric and Adult Patients ST. LOUIS, Mo., Dec. 05, 2025 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

There was an error while loading. Please reload this page. Project: Real-Time Anomaly Detection using Object Detector and USB Camera Overview This project implements ...

Hairfall is a primary concern for many individuals worldwide today. Hair strands may fall due to various conditions such as hereditary factors, scalp health issues, nutritional deficiencies, hormonal ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...