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Refinado por: Nome da Publicação: International Journal Of Pavement Engineering remover
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Automatic pavement crack detection using multimodal features fusion deep neural network
Automatic pavement crack detection using multimodal features fusion deep neural network
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Automatic pavement crack detection using multimodal features fusion deep neural network

Zhai, Junzhi ; Sun, Zhaoyun ; Huyan, Ju ; Yang, Handuo ; Li, Wei

The international journal of pavement engineering, 2023-01, Vol.24 (2) [Periódico revisado por pares]

Abingdon: Taylor & Francis

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2
The use of deep neural networks for developing generic pavement rutting predictive models
The use of deep neural networks for developing generic pavement rutting predictive models
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The use of deep neural networks for developing generic pavement rutting predictive models

Haddad, Angela J. ; Chehab, Ghassan R. ; Saad, George A.

The international journal of pavement engineering, 2022-10, Vol.23 (12), p.4260-4276 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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3
Determination of the air void content of asphalt concrete mixtures using artificial intelligence techniques to segment micro-CT images
Determination of the air void content of asphalt concrete mixtures using artificial intelligence techniques to segment micro-CT images
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Determination of the air void content of asphalt concrete mixtures using artificial intelligence techniques to segment micro-CT images

Enríquez-León, Alexis Jair ; de Souza, Thiago Delgado ; Aragão, Francisco Thiago Sacramento ; Braz, Delson ; Pereira, André Maués Brabo ; Nogueira, Liebert Parreiras

The international journal of pavement engineering, 2022-09, Vol.23 (11), p.3973-3982 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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4
Pavement roughness evaluation method based on the theoretical relationship between acceleration measured by smartphone and IRI
Pavement roughness evaluation method based on the theoretical relationship between acceleration measured by smartphone and IRI
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Pavement roughness evaluation method based on the theoretical relationship between acceleration measured by smartphone and IRI

Zhang, Zhen ; Zhang, Hongliang ; Xu, Song ; Lv, Wenjiang

The international journal of pavement engineering, 2022-07, Vol.23 (9), p.3082-3098 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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5
Rapid estimation of resilient modulus of subgrade soils using performance-related soil properties
Rapid estimation of resilient modulus of subgrade soils using performance-related soil properties
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Rapid estimation of resilient modulus of subgrade soils using performance-related soil properties

Zhang, Junhui ; Peng, Junhui ; Zeng, Ling ; Li, Jue ; Li, Feng

The international journal of pavement engineering, 2021-05, Vol.22 (6), p.732-739 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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6
Machine learning approach for pavement performance prediction
Machine learning approach for pavement performance prediction
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Machine learning approach for pavement performance prediction

Marcelino, Pedro ; de Lurdes Antunes, Maria ; Fortunato, Eduardo ; Gomes, Marta Castilho

The international journal of pavement engineering, 2021-02, Vol.22 (3), p.341-354 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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7
Using the visual intervention influence of pavement markings for rutting mitigation-part I: preliminary experiments and field tests
Using the visual intervention influence of pavement markings for rutting mitigation-part I: preliminary experiments and field tests
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Using the visual intervention influence of pavement markings for rutting mitigation-part I: preliminary experiments and field tests

Wu, Gang ; Chen, Feng ; Pan, Xiaodong ; Xu, Ming ; Zhu, Xingyi

The international journal of pavement engineering, 2019-06, Vol.20 (6), p.734-746 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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8
Using the visual intervention influence of pavement marking for rutting mitigation - Part II: visual intervention timing based on the finite element simulation
Using the visual intervention influence of pavement marking for rutting mitigation - Part II: visual intervention timing based on the finite element simulation
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Using the visual intervention influence of pavement marking for rutting mitigation - Part II: visual intervention timing based on the finite element simulation

Zhu, Xingyi ; Dai, Ziwei ; Chen, Feng ; Pan, Xiaodong ; Xu, Ming

The international journal of pavement engineering, 2019-05, Vol.20 (5), p.573-584 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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9
Application of nano-silica and styrene-butadiene-styrene to improve asphalt mixture self healing
Application of nano-silica and styrene-butadiene-styrene to improve asphalt mixture self healing
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Application of nano-silica and styrene-butadiene-styrene to improve asphalt mixture self healing

Ganjei, Mohammad Amin ; Aflaki, Esmail

The international journal of pavement engineering, 2019-01, Vol.20 (1), p.89-99 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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10
Evaluation of rutting potential for asphalt concrete mixes containing copper slag
Evaluation of rutting potential for asphalt concrete mixes containing copper slag
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Evaluation of rutting potential for asphalt concrete mixes containing copper slag

Abdelfattah, Hossam F. H. ; Al-Shamsi, Khalid ; Al-Jabri, Khalifa

The international journal of pavement engineering, 2018-07, Vol.19 (7), p.630-640 [Periódico revisado por pares]

Abingdon: Taylor & Francis LLC

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