Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Armin Monirabbasi"'
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 636-647 (2024)
Computer vision which uses Convolutional Neural Network (CNN) models is a robust and accurate tool for precise monitoring and pixel-level detection of potential damage in concrete structures. Using a state-of-the-art Dense ResU-Net model integrated w
Externí odkaz:
https://doaj.org/article/7019d13e6a0a4114ae29cb4c92ded0df
Publikováno v:
IEEE Access, Vol 12, Pp 77575-77585 (2024)
Utilizing convolutional neural network (CNN) models, computer vision technology has become a reliable and powerful tool for detecting potential damage in concrete structures at the pixel level. In this study, an advanced SWIN U-Net architecture was i
Externí odkaz:
https://doaj.org/article/9d319dc05ff3475cac536adda2aaae54
Autor:
Farhang Maraghi, Armin Monirabbasi
Publikováno v:
آب و فاضلاب, Vol 32, Iss 4, Pp 34-46 (2021)
Due to the increase in urban life (especially Tehran) and environmental problems, there is a great need to implement urban sewerage projects. One of the most important things about these kinds of projects is risk management. In this study, at first w
Externí odkaz:
https://doaj.org/article/a5ce885d5cf64dbab2893e16367bb650
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 4, Iss 1, Pp 127-139 (2020)
The traditional methods for calculating the width of the cracks in concrete structures are mainly based on the manual and non-systematic collection of information, and also depend on personal justifications and judgment. Due to the fact that these ap
Externí odkaz:
https://doaj.org/article/3a0d5c1b648b4007ba905dd2297cf0f9
Publikováno v:
بیمارستان, Vol 15, Iss 2, Pp 111-122 (2016)
Background: Partnership between public and private section is the cooperation between institutions in these sectors which perform to attain common goals and eliminate the limitations. This study aimed at investigating the important criteria for attra
Externí odkaz:
https://doaj.org/article/e9ca3940d1a144d1a01a27d0c457ee89