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Issue Information ‐ TOC.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1175, doi. 10.1111/mice.12473
- Publication type:
- Article
INTRODUCTION.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1177, doi. 10.1111/mice.12636
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- Publication type:
- Article
Coupling of microstructural and macrostructural computational approaches for asphalt pavements under rolling tire load.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1178, doi. 10.1111/mice.12535
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- Publication type:
- Article
Benefits of ensemble models in road pavement cracking classification.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1194, doi. 10.1111/mice.12543
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- Publication type:
- Article
Convolutional neural networks for pavement roughness assessment using calibration‐free vehicle dynamics.
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- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1209, doi. 10.1111/mice.12546
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- Publication type:
- Article
Deep reinforcement learning for long‐term pavement maintenance planning.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1230, doi. 10.1111/mice.12558
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- Publication type:
- Article
Asphalt pavement modulus backcalculation using surface deflections under moving loads.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1246, doi. 10.1111/mice.12624
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- Publication type:
- Article
Viscosity characterization of confined bitumen considering microaggregate‐bitumen interactions.
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- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1261, doi. 10.1111/mice.12562
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- Publication type:
- Article
An advanced local calibration method for mechanistic‐empirical pavement design.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1276, doi. 10.1111/mice.12574
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- Publication type:
- Article
Automated pavement crack detection and segmentation based on two‐step convolutional neural network.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2020, v. 35, n. 11, p. 1291, doi. 10.1111/mice.12622
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- Publication type:
- Article