Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mostafa Aliyari"'
Autor:
Mostafa Aliyari, Yonas Zewdu Ayele
Publikováno v:
Applied System Innovation, Vol 6, Iss 6, p 115 (2023)
This article aims to assess the effectiveness of state-of-the-art artificial neural network (ANN) models in time series analysis, specifically focusing on their application in prediction tasks of critical infrastructures (CIs). To accomplish this, sh
Externí odkaz:
https://doaj.org/article/81b20918a7454e07bb0195ad8273994e
Publikováno v:
Energies, Vol 14, Iss 19, p 6017 (2021)
Unmanned aerial systems (UAS) provide two main functions with regards to bridge inspections: (1) high-quality digital imaging to detect element defects; (2) spatial point cloud data for the reconstruction of 3D asset models. With UAS being a relative
Externí odkaz:
https://doaj.org/article/6c5a9ef6cc824d49afd35c42d9699d79
Publikováno v:
Energies, Vol 13, Iss 23, p 6250 (2020)
Bridges are a critical piece of infrastructure in the network of road and rail transport system. Many of the bridges in Norway (in Europe) are at the end of their lifespan, therefore regular inspection and maintenance are critical to ensure the safet
Externí odkaz:
https://doaj.org/article/93257598c17f4e19aa5cabc13a5ef09a
Publikováno v:
International Journal on Transport Development and Integration
The inability to effectively and systematically identify and measure the damage in bridges will lead to an acceleration and dangerous deterioration of the health state of these structures. To repair and replace the aging and damaged bridge infrastruc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8654296b9ca8020d91f452aba67f469
https://doi.org/10.2495/tdi-v5-n2-118-135
https://doi.org/10.2495/tdi-v5-n2-118-135
Publikováno v:
Sustainability; Volume 13; Issue 20; Pages: 11359
Sustainability
Sustainability, Vol 13, Iss 11359, p 11359 (2021)
Sustainability
Sustainability, Vol 13, Iss 11359, p 11359 (2021)
As bridge inspection becomes more advanced and more ubiquitous, artificial intelligence (AI) techniques, such as machine and deep learning, could offer suitable solutions to the nation’s problems of overdue bridge inspections. AI coupling with vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b0fec622ac5ea5604dedb148b17f7c2
Publikováno v:
Structure and Infrastructure Engineering
Unmanned Aerial Vehicles (UAV) technology has found its way into several civilian applications in the last 20 years, predominantly due to lower cost and tangible scientific improvements. In its application to structural bridge inspection, UAVs provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d03e0cfabbe4101334f2e1f2ee2680bc
https://hdl.handle.net/11250/2760888
https://hdl.handle.net/11250/2760888
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 233:118-138
Electric power distribution is a complex network involving technical challenges from a wide range of sources, a considerable degree of risk and substantial financial resources. Design and maintenance strategies must take account of the risk of failur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::209875742c4f9da952a96924ef7be8a0
https://doi.org/10.1177/1748006x18759806
https://doi.org/10.1177/1748006x18759806
Publikováno v:
18th Electric Power Distribution Conference.
In planning and operation of an electric power distribution system, accurate estimation of the reliability performance of its different components is a fundamental and challenging part. Weibull probability distribution has been used frequently for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1803940bfa01a0892ed25d99f7afa6f7
https://doi.org/10.1109/epdc.2013.6565967
https://doi.org/10.1109/epdc.2013.6565967