Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mohammed Hamza Momade"'
Publikováno v:
Frontiers in Engineering and Built Environment, Vol 1, Iss 2, Pp 203-216 (2021)
Purpose – This study reviews the extent of application of artificial intelligence (AI) tools in the construction industry. Design/methodology/approach – A thorough literature review (based on 165 articles) was conducted using Elsevier's Scopus du
Externí odkaz:
https://doaj.org/article/17c2b2b9cd6b45619cae7879fee76805
Publikováno v:
Frontiers in Engineering and Built Environment. 1:203-216
PurposeThis study reviews the extent of application of artificial intelligence (AI) tools in the construction industry.Design/methodology/approachA thorough literature review (based on 165 articles) was conducted using Elsevier's Scopus due to its si
Publikováno v:
International Journal of Building Pathology and Adaptation.
PurposeConstruction projects in Malaysia are often delayed and over budget due to heavy reliance on labor. Linear regression (LR) models have been used in most labor cost (LC) studies, which are less accurate than machine learning (ML) tools. Constru
Autor:
Mohammed Hamza Momade, Serdar Durdyev, Nguyen Van Tam, Shamsuddin Shahid, Jasper Mbachu, Yusra Momade
Publikováno v:
International Journal of Building Pathology and Adaptation.
PurposeVietnam's construction technology (CT) adoption is low when compared to other countries with similar gross domestic product (GDP) per capita resulting in lesser productivity. The research objectives are: (1) To undertake an extensive literatur
Publikováno v:
International Journal of Construction Management. 23:697-707
Many studies on construction labor productivity (CLP) have been conducted by researchers worldwide over the years, but there has been no study to date whereby the findings from the previous article...
Autor:
Abdulhakim Tahir Umar, Mohammed Hamza Momade, Mohamed Salem Nashwan, Shamsuddin Shahid, Mohd Rosli Hainin
Publikováno v:
International Journal of Construction Management. 22:1924-1934
The purpose of this paper is to propose a data-driven approach for preparation of Construction Labour Productivity (CLP) models from influencing labour factors. Two state-of-art machine learning-ba...
Publikováno v:
Ain Shams Engineering Journal. :101906
Autor:
Emmanuel C. Dioha, Noraliani Alias, Najeebullah Khan, Kamal Ahmed, Qutbudin Ishanch, Shamsuddin Shahid, Muhammad Rajab Houmsi, Mohamed Salem Nashwan, Mohammed Sanusi Shiru, Eun-Sung Chung, Mohammad Naser Sediqi, Saleem A. Salman, Zulfaqar Sa’adi, Muhammad Aslam Noor, Zafar Iqbal, Suleiman Shiru, Mohd Khairul Idlan, Mohammed Hamza Momade
Publikováno v:
Journal of Water and Climate Change. 11:1067-1083
This study assesses the water resources and environmental challenges of Lagos mega city, Nigeria, in the context of climate change. Being a commercial hub, the Lagos population has grown rapidly causing an insurmountable water and environmental crisi
Publikováno v:
Engineering, Technology & Applied Science Research. 9:3945-3948
Motivation is one of the factors that influence productivity. Project management plays a vital role in the success of projects in Qatar construction industry (QCI). It relies profoundly on the team’s active participation and effective performance.