Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Farah Zaremotekhases"'
Autor:
Nader Karballaeezadeh, Farah Zaremotekhases, Shahaboddin Shamshirband, Amir Mosavi, Narjes Nabipour, Peter Csiba, Annamária R. Várkonyi-Kóczy
Publikováno v:
Energies, Vol 13, Iss 7, p 1718 (2020)
Prediction models in mobility and transportation maintenance systems have been dramatically improved by using machine learning methods. This paper proposes novel machine learning models for an intelligent road inspection. The traditional road inspect
Externí odkaz:
https://doaj.org/article/17bcdcf0694d4cd8a15954dc63d25ae0
Publikováno v:
Road Materials and Pavement Design. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de70c24f2a04fbea65a8f6e071d9ee2b
https://doi.org/10.1080/14680629.2023.2207658
https://doi.org/10.1080/14680629.2023.2207658
Publikováno v:
Journal of Testing and Evaluation. 51:20220268
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75bdbbf1f77853761a7ad534a5c49c89
https://doi.org/10.1520/jte20220268
https://doi.org/10.1520/jte20220268
Publikováno v:
Tran-SET 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85b1f4be6881d10c44f320791c268c3
https://doi.org/10.1061/9780784483305.019
https://doi.org/10.1061/9780784483305.019
The production of Warm-mix asphalt mixtures in conjunction with reclaimed asphalt pavement (RAP) has received considerable interest in recent years for economic and environmental reasons. The primary objective of this project is to enhance the perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dc765204f03db237ce348471a0c1929
Autor:
Peter Csiba, Amir Mosavi, Nader Karballaeezadeh, Narjes Nabipour, Farah Zaremotekhases, Annamária R. Várkonyi-Kóczy, Shahaboddin Shamshirband
Publikováno v:
Energies; Volume 13; Issue 7; Pages: 1718
Energies, Vol 13, Iss 1718, p 1718 (2020)
Energies, Vol 13, Iss 1718, p 1718 (2020)
Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods. This paper proposes novel machine learning models for intelligent road inspection. The traditional road inspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9ff41b566c0bdab83a9f98e7b340006
Publikováno v:
Construction and Building Materials. 319:126035
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5389eb6e2b7081f2f4ffabe4aaca486b
https://doi.org/10.1016/j.conbuildmat.2021.126035
https://doi.org/10.1016/j.conbuildmat.2021.126035
Autor:
Narjes Nabipour, Amir Mosavi, Shahaboddin Shamshirband, Nader Karballaeezadeh, Farah Zaremotekhases
The conventional method used for calculating pavement condition index (PCI) has two major drawbacks: safety problems during pavement inspection, and human error. This paper proposes a method for removing these problems. The proposed method uses surfa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b334175c90a17c283bbc643765099d6d
https://doi.org/10.20944/preprints201910.0141.v1
https://doi.org/10.20944/preprints201910.0141.v1
Publikováno v:
Construction and Building Materials. 280:122420
The Hamburg Wheel-Tracking Test (HWTT) has remained a very robust method for characterizing asphalt mixtures due to its ability to simulate field loading conditions. Despite the popularity of the HWTT, there is no standardized step-by-step procedure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1aef0a718e6d88e03ee79eef6309053
https://doi.org/10.1016/j.conbuildmat.2021.122420
https://doi.org/10.1016/j.conbuildmat.2021.122420