Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Osama Abudayyeh"'
Publikováno v:
Scientific Journal of Silesian University of Technology. Series Transport, Vol 122, Pp 21-47 (2024)
Car dependence is a trend brought about by the desire for comfortable transportation, in many countries around the world. After the invention and acceptance of automobiles, cities were designed with layouts that favored automobiles at the expense of
Externí odkaz:
https://doaj.org/article/7d38c41d33b5460a9f6888f408e240f4
Publikováno v:
Buildings, Vol 14, Iss 10, p 3272 (2024)
The Construction Cost Index (CCI) is an important tool that is widely used in construction cost management to monitor cost fluctuations over time. Numerous studies have been conducted on CCI development and forecasting models, including time series,
Externí odkaz:
https://doaj.org/article/748fca37b205452b9658281a2d058e8e
Publikováno v:
CivilEng, Vol 3, Iss 4, Pp 1091-1107 (2022)
Mental health concerns are surging worldwide and workers in the construction industry have been found to be particularly vulnerable to these challenges. Stress, depression, addictions, suicides, and other key indicators of poor mental health have bee
Externí odkaz:
https://doaj.org/article/4cf1c105b2134e23a99b14dab01e0225
Publikováno v:
Buildings, Vol 14, Iss 1, p 4 (2023)
In recent years, the implementation of digital twin (DT) technology has gained significant attention in various industries. However, the fire safety management (FSM) sector has been relatively slow in adopting this technology compared to other major
Externí odkaz:
https://doaj.org/article/bdf307dd2a4144c893d9670fdcc06a20
Publikováno v:
Buildings, Vol 13, Iss 11, p 2725 (2023)
Effective civil infrastructure management necessitates the utilization of timely data across the entire asset lifecycle for condition assessment and predictive maintenance. A notable gap in current predictive maintenance practices is the reliance on
Externí odkaz:
https://doaj.org/article/98a85638ef2448d491cc1c911ecf9fd2
Publikováno v:
Buildings, Vol 13, Iss 6, p 1488 (2023)
With various emerging technologies and integration possibilities, smart facility management has gained wide interest in recent years. Several technologies were introduced to support facilities management and improve decision-making, such as Building
Externí odkaz:
https://doaj.org/article/0024b4aacbeb488c8198ab75c011e4a0
Autor:
Mohammad Z. El-Yabroudi, Ikhlas Abdel-Qader, Bradley J. Bazuin, Osama Abudayyeh, Rakan C. Chabaan
Publikováno v:
Sensors, Vol 22, Iss 24, p 9578 (2022)
Pixel-level depth information is crucial to many applications, such as autonomous driving, robotics navigation, 3D scene reconstruction, and augmented reality. However, depth information, which is usually acquired by sensors such as LiDAR, is sparse.
Externí odkaz:
https://doaj.org/article/9874d1e007b64ad0a3ee2f944a746baa
Publikováno v:
Buildings, Vol 12, Iss 11, p 1980 (2022)
Construction is one of the most hazardous industries worldwide. Implementing safety regulations is the responsibility of all parties involved in a construction project and must be performed systematically and synergistically to maximize safety perfor
Externí odkaz:
https://doaj.org/article/20fddaa604864cd29b1642a5994a0f11
Publikováno v:
Buildings, Vol 12, Iss 3, p 354 (2022)
Construction-oriented quantity take-off (QTO) refers to the process of determining the quantities for construction items or work packages in accordance with their descriptions. However, the current construction-oriented QTO practice relies on estimat
Externí odkaz:
https://doaj.org/article/9fe75c37ef0841f8b1a1a94f874eb543
Autor:
Maha Al-Kasasbeh, Osama Abudayyeh, Hosam Olimat, Hexu Liu, Rabia Al Mamlook, Bilal Abu Alfoul
Publikováno v:
Buildings, Vol 11, Iss 10, p 434 (2021)
The construction work environment remains one of the most hazardous among all industries. Construction injuries directly impact the workers and the work itself, including personal suffering, construction delays, productivity losses, higher insurance
Externí odkaz:
https://doaj.org/article/1da6045ae265422d94fc07f844c1eb2e