Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Mani Golparvar-Fard"'
Publikováno v:
Developments in the Built Environment, Vol 16, Iss , Pp 100247- (2023)
Effective progress monitoring is ineviTable for completing the construction of building and infrastructure projects successfully. In this digital transformation era, with the data-centric management and control approach, the effectiveness of monitori
Externí odkaz:
https://doaj.org/article/db77a76e650847b9b7e27fe635a23265
Autor:
Vedhus Hoskere, Fouad Amer, Doug Friedel, Wanxian Yang, Yu Tang, Yasutaka Narazaki, Matthew D. Smith, Mani Golparvar-Fard, Billie F. Spencer
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 520 (2021)
The tremendous success of automated methods for the detection of damage in images of civil infrastructure has been fueled by exponential advances in deep learning over the past decade. In particular, many efforts have taken place in academia and more
Externí odkaz:
https://doaj.org/article/d305c1a5927e4bec88c644b40776dc69
Autor:
Yanyu Wang, Pingbo Tang, Kaijian Liu, Jiannan Cai, Ran Ren, Jacob J. Lin, Hubo Cai, Jiansong Zhang, Nora El-Gohary, Mario Berges, Mani Golparvar Fard
Publikováno v:
Journal of Computing in Civil Engineering. 37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4c0d5ce0a4abe1bffc5f53809d60b66
https://doi.org/10.1061/jccee5.cpeng-5077
https://doi.org/10.1061/jccee5.cpeng-5077
Publikováno v:
Journal of Computing in Civil Engineering. 36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b26e892aaac8e7b3fc64b55791cfd8ed
https://doi.org/10.1061/(asce)cp.1943-5487.0001032
https://doi.org/10.1061/(asce)cp.1943-5487.0001032
Publikováno v:
Automation in Construction. 152:104896
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5c4c9f44496504c436c886e69e02067
https://doi.org/10.1016/j.autcon.2023.104896
https://doi.org/10.1016/j.autcon.2023.104896
Publikováno v:
Computer-Aided Civil and Infrastructure Engineering. 37:55-72
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e311d66d6983625a246dc0fa601d28c
https://doi.org/10.1111/mice.12693
https://doi.org/10.1111/mice.12693
Autor:
Yanyu Wang, Pingbo Tang, Kaijian Liu, Jiannan Cai, Ran Ren, Jacob J. Lin, Hubo Cai, Jiansong Zhang, Nora El-Gohary, Mario Berges, Mani Golparvar Fard
Publikováno v:
Computing in Civil Engineering 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e10471b31ba90927ee565a569f3bf6b3
https://doi.org/10.1061/9780784483893.006
https://doi.org/10.1061/9780784483893.006
Publikováno v:
Construction Research Congress 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9987905fbfedd45608b23b25323ab02
https://doi.org/10.1061/9780784483978.037
https://doi.org/10.1061/9780784483978.037
Autor:
Mani Golparvar-Fard, Shuai Tang
Publikováno v:
Journal of Computing in Civil Engineering. 35
This paper proposes a new method for single-worker severity level prediction from already collected site images and video clips. Onsite safety observers often assess workers’ severity level...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d6d18f83b1826876a40fd0855630535
https://doi.org/10.1061/(asce)cp.1943-5487.0000979
https://doi.org/10.1061/(asce)cp.1943-5487.0000979
Publikováno v:
Journal of Construction Engineering and Management. 147
The architecture, engineering, and construction (AEC) industry perform thousands of scans each year. The majority of these point clouds are used for generating three-dimensional (3D) models...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12492adb7051a2f7d8d401a3c603e89f
https://doi.org/10.1061/(asce)co.1943-7862.0002132
https://doi.org/10.1061/(asce)co.1943-7862.0002132