GOG-RT-DETR improves graphite ore grade detection, combining deep learning innovations for faster, more accurate mineral ...

Efforts in Pennsylvania to extract valuable rare earth minerals from tens of millions of tons of coal refuse are finding support in the new state budget. The Fiscal Code, House Bill 416, provides $1.9 ...

Railway image classification (RIC) represents a critical application in railway infrastructure monitoring, involving the analysis of hyperspectral datasets with complex spatial-spectral relationships ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. With advances in protein engineering and multiomics ...

Grading grapevine downy mildew severity is essential for the precise application of pesticides. Since typical symptoms appear on the abaxial (underside) surface of grape leaves, and lesion area ...

ABSTRACT: Time series anomaly detection is important in fields such as industrial control, but faces challenges such as data distribution drifting over time, diverse normal patterns, and training data ...

Abstract: Currently, convolutional neural network (CNN) and transformer-based hyperspectral image (HSI) classification methods have attracted significant attention owing to their effective feature ...

Abstract: Local feature extraction constitutes a foundational module crucial for numerous downstream tasks of computer vision. Its primary challenge lies in the generation of discriminative feature ...