Showing 1 - 7 results of 7 for search '"T37 (classification)"', query time: 1.51s Refine Results
  1. 1
    Automatic Target Recognition in Synthetic Aperture Sonar Images Based on Geometrical Feature Extraction
    by J. Del Rio Vera, E. Coiras, J. Groen, B. Evans
    Published 2009-01-01
    “... tested on a set of 1528 simulated images created by the NURC SIGMAS sonar model, achieving up to 95&#37...”
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    Article
  2. 2
    CLASSIFICATION OF STANDARDS OF RECLAMATION COMPLEX: INTEGRATION ISSUES WITH ALL-RUSSIAN AND INTERNATIONAL CLASSIFIERS OF STANDARDS
    by V. N. Shchedrin, O. V. Voyevodin, A. L. Kozhanov
    Published 2020-08-01
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    Article
  3. 3
    Frequency Occurrence Plot based Convolutional Neural Network for Motor Fault Diagnosis
    “... as input label, FOP-CNN predicts motor fault conditions with 92.37% classification accuracy. It precisely...”
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  4. 4
    Frequency Occurrence Plot-Based Convolutional Neural Network for Motor Fault Diagnosis
    “... predicts motor fault conditions with a 92.37% classification accuracy. It precisely classifies and recalls...”
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    Article
  5. 5
    Double-Gated Asymmetric Floating-Gate-Based Synaptic Device for Effective Performance Enhancement Through Online Learning
    “... classification, resulting in 87.37% classification accuracy with 10% conductance variation. To alleviate...”
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    Article
  6. 6
    Classification of community-acquired outbreaks for the global transmission of COVID-19: Machine learning and statistical model analysis
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    Article
  7. 7
    The Glycaemic Index-Food-Frequency Questionnaire: Development and Validation of a Food Frequency Questionnaire Designed to Estimate the Dietary Intake of Glycaemic Index and Glycaemic Load: An Effort by the PREVIEW Consortium
    “... lower than the general-FFQ GL (126 ± 38) and 24 h-recalls GL (127 ± 37). Classification of GI...”
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    Article
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