Enhancing False Alarm Reduction in Network Traffic Anomaly Detection Using Ensemble Machine Learning
Abstract: This study proposes a robust ensemble learning framework to significantly reduce false alarms in binary intrusion detection using the CICIDS2017 dataset. The approach integrates mutual ...
Recent tests of AI content detectors show major differences in accuracy, with Scribbr’s premium tool leading at 84% and some popular systems scoring under 60%. While certain detectors excel at ...
Academic institutions are increasingly using AI detection tools to uphold integrity, but false positives, inconsistent policies, and evolving AI models undermine reliability. Studies show these tools ...
Stanford's Dr. Perez shows Apple Watches detect AFib with 86% accuracy, offering accessible cardiac monitoring as 115M ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
AI Detector Developer Pangram Labs’ browser extension tagged several posts from the Pope’s X account as potentially written ...
An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results