Abstract: Fault detection and diagnosis (FDD) is a critical challenge in industrial processes aimed at minimizing risks such as safety hazards, costly downtime, and suboptimal production. Traditional ...

Abstract: Product surface defect detection is a crucial technology in industrial production. The adoption of deep learning-based algorithms for inspecting product surface defects has been steadily ...

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 ...

WSVM is a fully automated method using Vision Transformer (ViT) and Multiple Instance Learning (MIL) for tongue extraction and tooth-marked tongue recognition. It accurately detects the tongue region ...

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

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

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ML-driven cell-based assays.

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

A research team led by Professor Kim Kwan-chang of the Department of Thoracic and Cardiovascular Surgery, Professor Kang ...

Hundred years of Kodaikanal Solar Observatory records will throw light on the change in solar activity over time ...

AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security ...