Abstract: The continuously growing amount of monitored data in the Industry 4.0 context requires strong and reliable anomaly detection techniques. The advancement of Digital Twin technologies allows ...

Abstract: Weakly supervised video anomaly detection is a challenging problem due to the lack of frame-level labels in training videos. Most previous works typically tackle this task with the multiple ...

Attention-guided generator with dual discriminator GAN for real-time video anomaly detection 2024 J-EAAI Model Video anomaly detection guided by clustering learning 2024 J-PR Model Toward Video ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Objective: To evaluate uFlowAM for fetus-level detection and visualization of abnormal intracardiac microflow patterns on early-pregnancy FCMI. Methods: This multicenter diagnostic accuracy study ...

FinGuard AI FinGuard AI is a machine learning-based financial fraud detection system that identifies suspicious transactions using supervised learning, anomaly detection, and explainable AI. The ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

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