IEEE

Anomaly Detection Method of Maglev Train Suspension System Based on SSA-MLP-Attention Hybrid Model

Abstract: Anomaly detection of maglev train suspension system is crucial for train’s safe operation and maintenance. In order to solve the complexity and diversity of abnormality modes in the ...
Journal of Accountancy

AI tools for finance professionals to prepare and visualize data

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...
IEEE

AULoRA: Anomaly Understanding With Low-Rank Adaptation for Zero-Shot Anomaly Detection

Abstract: Zero-Shot Anomaly Detection (ZSAD) aims to identify anomalies in unseen categories or scenarios. Recently, Vision-Language Models (VLMs), most notably CLIP, have been utilized to enhance ...
GitHub

Open-Source Benchmark of Anomaly Detection (OSBAD)

⚠️ MAINTENANCE NOTICE We are currently performing major changes and maintenance to migrate our workflows from local compute to cloud computation. Some functionality may be unstable in the current ...
GitHub

DeFB: Decomposed Feature Learning for Real-Time Multi-Person Eyeblink Detection in Untrimmed In-the-Wild Videos

🔍 Rethinking Unified Models: We identify two critical limitations in existing unified multi-person eyeblink detection models: (1) feature granularity conflict between face localization and eyeblink ...
SpaceNews

ULA’s Vulcan launches Space Force mission; solid booster anomaly under investigation

WASHINGTON — A United Launch Alliance Vulcan Centaur rocket lifted off early Feb. 12 on a multi-manifest national security mission, sending payloads directly to geosynchronous orbit more than 22,000 ...