The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

The author proposes Ves-GAN, a novel unsupervised vessel-targeted denoising framework based on the architecture of Cycle-GAN. Ves-GAN achieves global denoising of LDCTA images while selectively ...