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Hongduo Zhao, Lukuan Ma & Jiake Zhang. (2018) Estimating the remaining life of airfield flexible pavements considering environmental factors. HKIE Transactions 25:3, pages 208-216.
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Articles from other publishers (29)
Changbai Wang, Wei Xiao & Jimin Liu. (2023) Developing an improved extreme gradient boosting model for predicting the international roughness index of rigid pavement. Construction and Building Materials 408, pages 133523.
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Hamed Naseri, Mohammad Shokoohi, Hamid Jahanbakhsh, Mohammad M Karimi & E.O.D. Waygood. (2023) Novel Soft-Computing Approach to Better Predict Flexible Pavement Roughness. Transportation Research Record: Journal of the Transportation Research Board, pages 036119812311610.
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Ming Zhang, Chong Wang, Lulu Fan & Junyan Yi. (2022) Decision-Making for Typical Pavement Structure Based on Life-Cycle Economic Evaluation and Key Performance Indicators. Coatings 12:8, pages 1124.
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S. Madeh Piryonesi & Tamer El-Diraby. (2021) Climate change impact on infrastructure: A machine learning solution for predicting pavement condition index. Construction and Building Materials 306, pages 124905.
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Mohamed S. Yamany, Tariq Usman Saeed, Matthew Volovski & Anwaar Ahmed. (2020) Characterizing the Performance of Interstate Flexible Pavements Using Artificial Neural Networks and Random Parameters Regression. Journal of Infrastructure Systems 26:2.
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Hui Wang, Zhoucong Xu & Lei Yue. (2020) Comparing of Data Collection for Network Level Pavement Management of Urban Roads and Highways. Journal of Advanced Transportation 2020, pages 1-11.
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Narjes Nabipour, Nader Karballaeezadeh, Adrienn Dineva, Amir Mosavi, Danial Mohammadzadeh S. & Shahaboddin Shamshirband. (2019) Comparative Analysis of Machine Learning Models for Prediction of Remaining Service Life of Flexible Pavement. Mathematics 7:12, pages 1198.
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Mansour Fakhri & Reza Shahni Dezfoulian. (2019) Pavement structural evaluation based on roughness and surface distress survey using neural network model. Construction and Building Materials 204, pages 768-780.
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