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PDF) Evaluation of GoogLenet, Mobilenetv2, and Inceptionv3, pre-trained convolutional neural networks for detection and classification of concrete crack images
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Date 32-23 352 +22 5) 5+ 216 / 5-2 32- 352 +213 5+2C 15+21G 15-20 5+26 372 +213 (352)23(253) 2 (373)2 (5)2 + 26x2x5 +(276) (5) 2 -(2 632 22 +212 9x2)-(4x3 9x3 25+ 2016 + 4x6 25 - 4XG 18-12 25+2016+24 25-24 352+28 2016 2 12+ 3 = 2016
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PDF) Evaluation of GoogLenet, Mobilenetv2, and Inceptionv3, pre-trained convolutional neural networks for detection and classification of concrete crack images
PDF) Evaluation of GoogLenet, Mobilenetv2, and Inceptionv3, pre-trained convolutional neural networks for detection and classification of concrete crack images
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11. ) (48.86)3/2 x (51.05)2/3(83.28)1/2
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