Abstract: GNN-based anomaly detection is one of the most critical security strategies protecting industrial control systems (ICSs) from external attacks. Existing studies mainly focus on how to ...

CLAT 2026 Exam Pattern: With just one day left for the CLAT UG 2026 exam, scheduled to be held on Sunday, December 7, 2025, the Consortium of National Law Universities (NLUs) has emphasized the ...

This week has all been about clearing out the treatment room for the Tampa Bay Buccaneers, with receiver Mike Evans and Jalen McMillan looking likely to hit the practice field. As it turns out, Evans ...

The Central Board of Secondary Education (CBSE) commenced the registration process for the Central Teacher Eligibility Test or CTET for February 2026 session on November 27, 2025. The registration ...

Time series anomaly detection (TSAD) focuses on identifying whether observations in streaming data deviate significantly from normal patterns. With the prevalence of connected devices, anomaly ...

CRANBROOK, BC / ACCESS Newswire / November 17, 2025 / Eagle Plains Resources Ltd. (TSXV:EPL)(OTCQB:EGPLF) ("EPL" or "Eagle Plains") is pleased to announce that partner Earthwise Minerals Corp.

T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

When it comes to predicting winter weather, some folks rely on backyard folklore, like checking the size of the brown rings on woolly bear caterpillars. Others rely on the Farmer’s Almanac, a ...

ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...

Satellite data reveal that a weak region in Earth's magnetic field has grown by an area roughly half the size of continental Europe in the last 10 years. When you purchase through links on our site, ...

Abstract: Video anomaly detection (VAD) focuses on identifying anomalies in videos. Supervised methods demand substantial in-domain training data and fail to deliver clear explanations for anomalies.