Abstract: Tiny defect detection is a knotty task in industrial electronics production. Existing traditional and deep learning methods have achieved satisfactory performance, however, they still face ...

Paper: https://openaccess.thecvf.com/content/CVPR2023/papers/Kong_Efficient_Frequency_Domain-Based_Transformers_for_High-Quality_Image_Deblurring_CVPR_2023_paper.pdf ...

Abstract: This article presents a novel method for compressing test responses based on scan fault response matrices. The primary goal is to minimize the amount of test response data by constructing a ...

To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the ...

Objective Gamification is a non-evaluation and competition-based training methodology with high emotional involvement. The goal of this study was to evaluate gamification methodology as compared with ...

We are a research-led school with a reputation for excellent teaching and courses with real-world impact. We are based across four sites, comprising more than 2000 students and 190 specialist staff ...

mClinical Oncology, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK nClinical Oncology, University College London Hospitals NHS Foundation Trust, London, UK oClinical Oncology, ...

We propose the first practical learned lossless image compression system, L3C, and show that it outperforms the popular engineered codecs, PNG, WebP and JPEG 2000. At the core of our method is a fully ...

School of Materials Science and Engineering, University of Science and Technology of China, No. 96 Jinzhai Road, Hefei 230000, China School of Materials Science and Engineering, University of Science ...

Crystal growth and morphological transitions are crucial for fundamental science and wide applications. Nevertheless, their mechanisms under local nonequilibrium growth condition are unclear due to ...