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Articles

Neural network-based prediction of sideway force coefficient for asphalt pavement using high-resolution 3D texture data

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Pages 3157-3166 | Received 02 Nov 2020, Accepted 29 Jan 2021, Published online: 11 Feb 2021

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Guangwei Yang, Allen A. Zhang, Kelvin C. P. Wang, Joshua Qiang Li, Wenyao Liu & Yang Liu. (2022) Deep-learning based non-contact method for assessing pavement skid resistance using 3D laser imaging technology. International Journal of Pavement Engineering 0:0, pages 1-10.
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Articles from other publishers (6)

Jun Chen, Xiaowen Yuan, Quan Liu, Cheng Zhao, Ruoyu Zhou & Jiale Huang. (2023) Identifying Texture and Friction of Asphalt Pavement Surface with Optimized Close-Range Photogrammetry Method. Journal of Testing and Evaluation 51:5, pages 20220586.
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Chenglong Liu, Nan Xu, Zihang Weng, Yishun Li, Yuchuan Du & Jing Cao. (2022) Effective pavement skid resistance measurement using multi‐scale textures and deep fusion network. Computer-Aided Civil and Infrastructure Engineering 38:8, pages 1041-1058.
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Ramin Bayat, Siamak Talatahari, Amir H. Gandomi, Mohammadreza Habibi & Babak Aminnejad. (2023) Artificial Neural Networks for Flexible Pavement. Information 14:2, pages 62.
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Guangwei Yang, Kelvin C. P. Wang, Joshua Q. Li & Guolong Wang. (2022) A Novel 0.1 mm 3D Laser Imaging Technology for Pavement Safety Measurement. Sensors 22:20, pages 8038.
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Yutao Li, Yuanhan Qin, Hui Wang, Shaodong Xu & Shenglin Li. (2022) Study of Texture Indicators Applied to Pavement Wear Analysis Based on 3D Image Technology. Sensors 22:13, pages 4955.
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Yiwen Zou, Guangwei Yang, Wanqing Huang, Yang Lu, Yanjun Qiu & Kelvin C. P. Wang. (2021) Study of Pavement Micro- and Macro-Texture Evolution Due to Traffic Polishing Using 3D Areal Parameters. Materials 14:19, pages 5769.
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