Abstract: Anomaly detection (AD) is typically regarded as an unsupervised learning task, where the training data either do not contain any anomalous samples or contain only a few unlabeled anomalous ...
Purpose-built for Lantronix Open-Q system-on-modules (SOMs), EdgeFabric.ai is a no-code development platform for designing ...
Abstract: The purpose of multimodal industrial anomaly detection is to detect complex geometric shape defects such as subtle surface deformations and irregular contours that are difficult to detect in ...
Supplementary-R-Codes This is the code file for the paper "Dynamic Count Time Series Modeling and Anomaly Detection for Online Automotive Quality Complaints". Author Zhi Song, Xuelong Hu, Jiujun Zhang ...
A China-aligned threat actor known as TA415 has been attributed to spear-phishing campaigns targeting the U.S. government, think tanks, and academic organizations utilizing U.S.-China economic-themed ...
Security Automation with Python A real-time log monitoring and alerting system built with Python. This project automates log parsing, anomaly detection, IP enrichment (via ipinfo.io), and Slack-based ...