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Scientific papers

Faster region convolutional neural network for automated pavement distress detection

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Pages 23-41 | Received 16 Jul 2018, Accepted 28 Apr 2019, Published online: 10 May 2019

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Jueqiang Tao, Xiaohua Luo, Xin Qiu & Feng Wang. (2020) Data quality assessment of automated pavement cracking measurements in Mississippi. International Journal of Pavement Research and Technology 14:2, pages 117-128.
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Hanshen Chen & Huiping Lin. (2021) An Effective Hybrid Atrous Convolutional Network for Pixel-Level Crack Detection. IEEE Transactions on Instrumentation and Measurement 70, pages 1-12.
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Jingwei Liu, Xu Yang, Stephen Lau, Xin Wang, Sang Luo, Vincent Cheng‐Siong Lee & Ling Ding. (2020) Automated pavement crack detection and segmentation based on two‐step convolutional neural network. Computer-Aided Civil and Infrastructure Engineering 35:11, pages 1291-1305.
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DANTE LAROZA SILVA & KEVIN LAWRENCE MARCELO DE JESUS. (2020) Backpropagation Neural Network with Feature Sensitivity Analysis: Pothole Prediction Model for Flexible Pavements using Traffic and Climate Associated Factors. Backpropagation Neural Network with Feature Sensitivity Analysis: Pothole Prediction Model for Flexible Pavements using Traffic and Climate Associated Factors.
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