Hyperspectral image classification has become a pivotal task in remote sensing data processing. However, current deep learning-based methods still face challenges in effectively extracting discriminative joint spatial-spectral features, especially wh... read more
Printed Circuit Boards (PCBs) pose significant challenges for defect detection due to their complex textures, small defect targets, and subtle inter-class similarities. Traditional inspection methods are limited in robustness, while many deep learnin... read more
OBJECTIVES: The aim of this study was to develop and validate an MRI radiomics-based predictive model to discriminate significant prostate cancer (sPCa), compare it with PI-RADS, and determine whether incorporating PI-RADS and other clinical variable... read more
Autonomous vehicles are essentially data centers on wheels. Between self-driving algorithms and high-definition mapping, the demand for instant processing at the network edge is exploding. But here is the snag: keeping those data streams alive while ... read more
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