Assembly Magazine

Machine Learning Detects Fastening Errors

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
IEEE

Deep Learning for Video Anomaly Detection: A Review

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...
GitHub

[WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2

This is the official code to reproduce the experiments in the paper AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2, accepted at IEEE/CVF Winter Conference on Applications of ...
GitHub

kusan-139/Cybersecurity-threat-detection

📌 What Is This Project? This project simulates a Security Operations Center (SOC) threat detection system — the kind used by banks, IT companies, and government organizations to protect their ...
IEEE

Deep Learning-Based Anomaly Detection and Authenticated Encryption Framework for PMU Data in Industrial Cyber-Physical Systems

Abstract: Industrial cyber-physical systems face escalating vulnerabilities from operational anomalies and cyberattacks threatening critical infrastructure. This article presents an integrated ...