Abstract: There are a number of drawbacks of using the manual process for the detection of fabric defects while making the defect-free fabric itself. The list of issues includes the additional ...
Bump scaling is pushing defect inspection to the limit. What comes next and why it matters.
Scientists in China have developed a new deep learning model based on the so-called "You Only Look Once" algorithm, which requires only one forward propagation pass through the neural network to make ...
The approach enables DFT and design verification (DV) teams to operate in parallel, accelerating development cycles while improving fault coverage. This cohesive strategy not only boosts test ...
Abstract: To address the issues of low accuracy, high missed detection rates, and insufficient robustness in strip steel surface defect detection under complex industrial environments, this paper ...
parkinson’s disease can be detected using speech. The phonation is the most affected part of the speech i.e. The sound we make when we pronounce the vowels. We have used the database of the speech ...
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China Chongqing School, University of Chinese Academy of Sciences, Chongqing 400714, China ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
The proliferation of deepfake technologies presents serious challenges for forensic speech authentication. We propose a deep learning framework combining Convolutional Neural Networks (CNNs) and Long ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback