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Images showing the three classes of defect: gaps, or lack of tissue; fusion, and polarity reversal.
Test cases were designed to uncover specific classes of defect, and to ensure that data were displayed consistently.
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The crack detection, classification and estimation of the geometrical characteristics, for different classes of defects, are described in the paper.
Classifiers were constructed to segregate i) defects as a class from non-defects, ii) all six classes and iii) five classes of defects within themselves.
The magnitude of internal friction is governed by the type, distribution, density, and mobility of defects, and by the interactions between different classes of defects.
There is also large 'inter group similarity and intra group diversity' [17] for various classes of defects, which makes defect classification difficult.
Eddy-current testing (ECT) presents major benefits such as low cost, high checking speed, robustness and high sensitivity to large classes of defects.
Caleb and Steuer [36] is an interesting paper where experiments were conducted on relative performance of multilayer perceptron (MLP) and group method of data handling (GMDH) with same set of five classes of defects and non-defect in hot strips.
It is shown that the existence of new classes of defects is directly connected with some known theoretical and experimental data on the possibility of generation of such defects as dislocations and disclinations.
Experimental results using the proposed system show that it identifies defects of test images effectively (Recall = 1.00, Precision = 0.95) and efficiently (Average response time = 0.64 s), and also achieves a high correctness in determining the types (Recall = 0.95, Precision = 0.96) for five classes of defects.
After electroporation of Lrp12/Mig13a SMARTpool siRNAs, 2 classes of defects in cell migration were observed.
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