Here,u=S/Smax, where the sizeSmaxof the largest avalanches diverges likeSmax∝(Σc−Σ)−1/σas the external loading Σ approaches a non-universal critical value Σcwhich defines the macroscopic yield stress. The parametersA,B,Candδare, in terms of the exponentτ, given by47 ...
Dozens of events and a webhooks API help you integrate with and automate work for your repository, organization, or application. Learn more GitHub-hosted runners Move automation to the cloud with on-demand Linux, macOS, Windows, ARM, and GPU environments for your workflow runs, all hosted by...
The paper also describes methods used for feature extraction and considers quantitative and qualitative accuracy assessment of these procedures. 展开 关键词: A Review of Techniques for Extracting Linear Features from Imagery, Artículo DOI: 10.14358/PERS.70.12.1383 被引量: 124 ...
such as the journal’s reputation, the originality of the work, the importance of the topic, the authors’ fame, the journal accessibility (open access versus non-open access) and the publication type (article, review, communication
Monitoring and preventing coal-rock dynamic disasters are vital for safe mining. To investigate the time–frequency features of induced charge signals with coal damage and failure of roadways, the generation mechanism of free charge in loaded coal is ana
Hodda M, Nobbs J (2008) A review of current knowledge on particular taxonomic features of the Australian nematode fauna, with special emphasis on plant feeders. Australasian Plant Pathology 37, 308-317. doi:10.1071/AP08024Hodda, M., and J. Nobbs. 2008. A review of current knowledge on ...
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The integration of computer-aided design (CAD), computer-aided process planning (CAPP), and computer-aided manufacturing (CAM) systems is significantly enhanced by employing deep learning-based automatic feature recognition (AFR) methods. These methods o
of the images and as such does not specify to what structure in the face the horizontal edges belong to. A possible solution to this ambiguity is to extract orientation information locally from the images, which is possible with Histograms of Oriented Gradients (HOGs). In recent years, HOGs ...