Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Artículo
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Automatic pavement crack detection using multimodal features fusion deep neural networkZhai, Junzhi ; Sun, Zhaoyun ; Huyan, Ju ; Yang, Handuo ; Li, WeiThe international journal of pavement engineering, 2023-01, Vol.24 (2) [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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2 |
Material Type: Artículo
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The use of deep neural networks for developing generic pavement rutting predictive modelsHaddad, Angela J. ; Chehab, Ghassan R. ; Saad, George A.The international journal of pavement engineering, 2022-10, Vol.23 (12), p.4260-4276 [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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3 |
Material Type: Artículo
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Determination of the air void content of asphalt concrete mixtures using artificial intelligence techniques to segment micro-CT imagesEnríquez-León, Alexis Jair ; de Souza, Thiago Delgado ; Aragão, Francisco Thiago Sacramento ; Braz, Delson ; Pereira, André Maués Brabo ; Nogueira, Liebert ParreirasThe international journal of pavement engineering, 2022-09, Vol.23 (11), p.3973-3982 [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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4 |
Material Type: Artículo
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Pavement roughness evaluation method based on the theoretical relationship between acceleration measured by smartphone and IRIZhang, Zhen ; Zhang, Hongliang ; Xu, Song ; Lv, WenjiangThe international journal of pavement engineering, 2022-07, Vol.23 (9), p.3082-3098 [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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5 |
Material Type: Artículo
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Rapid estimation of resilient modulus of subgrade soils using performance-related soil propertiesZhang, Junhui ; Peng, Junhui ; Zeng, Ling ; Li, Jue ; Li, FengThe international journal of pavement engineering, 2021-05, Vol.22 (6), p.732-739 [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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6 |
Material Type: Artículo
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Machine learning approach for pavement performance predictionMarcelino, Pedro ; de Lurdes Antunes, Maria ; Fortunato, Eduardo ; Gomes, Marta CastilhoThe international journal of pavement engineering, 2021-02, Vol.22 (3), p.341-354 [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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7 |
Material Type: Artículo
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Using the visual intervention influence of pavement markings for rutting mitigation-part I: preliminary experiments and field testsWu, Gang ; Chen, Feng ; Pan, Xiaodong ; Xu, Ming ; Zhu, XingyiThe international journal of pavement engineering, 2019-06, Vol.20 (6), p.734-746 [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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8 |
Material Type: Artículo
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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 simulationZhu, Xingyi ; Dai, Ziwei ; Chen, Feng ; Pan, Xiaodong ; Xu, MingThe international journal of pavement engineering, 2019-05, Vol.20 (5), p.573-584 [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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9 |
Material Type: Artículo
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Application of nano-silica and styrene-butadiene-styrene to improve asphalt mixture self healingGanjei, Mohammad Amin ; Aflaki, EsmailThe international journal of pavement engineering, 2019-01, Vol.20 (1), p.89-99 [Revista revisada por pares]Abingdon: Taylor & FrancisTexto completo disponible |
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10 |
Material Type: Artículo
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Evaluation of rutting potential for asphalt concrete mixes containing copper slagAbdelfattah, Hossam F. H. ; Al-Shamsi, Khalid ; Al-Jabri, KhalifaThe international journal of pavement engineering, 2018-07, Vol.19 (7), p.630-640 [Revista revisada por pares]Abingdon: Taylor & Francis LLCTexto completo disponible |