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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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Fauzan Ahmad Sayed, Nugraha Bintang Wirawan, Ahmad Yudi
Pág. 10 - 19
The high-rise building of steel structures requires strengthening system so that buildings are capable of carrying earthquake loads that may occur. Strengthening of steel structure building can be applied by providing stiffness of the structure in the fo...
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Rodrigo Scoczynski Ribeiro, Marc Arnela, Manuel Teixeira Braz-César, Rúbia Mara Bosse, Laura Silvestro, Gustavo de Miranda Saleme Gidrão, Mariane Kempka, Dyorgge Alves Silva and Marcela Maier Farias Czap
In Brazil, there is a shortage of approximately 5.80 million residences, a challenge that intensified during the pandemic. Since 2013, there has been a mandate to implement specific performance criteria in residential constructions. However, many constru...
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WoonSeong Jeong, ByungChan Kong and Sang-Guk Yum
The demand for compact housing is on the rise, driven by the need for floor plans that accommodate stakeholders? preferences. However, clients frequently struggle to convey their spatial needs to professionals, such as architects, due to a lack of means ...
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Joana Carneiro, Dália Loureiro, Marta Cabral and Dídia Covas
This paper presents and demonstrates a novel scenario-building methodology that integrates contextual and future time uncertainty into the performance assessment of water distribution networks (WDNs). A three-step approach is proposed: (i) System context...
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Kanghee Park and Boyoung Kim
Within a construction project, the clients are categorized as private individuals, private companies, public institutions, etc. In this research, the private client is identified as a non-professional individual building owner and is involved in making d...
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Maryam Safavi and Maryam Khoshbakht
Utilizing integrated solar systems and renewable energy sources has the potential to not only decrease the CO2 emissions of buildings but also provide access to more affordable energy alternatives compared to fossil fuels, especially considering the rece...
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Woo-Hyun Choi and Jung-Ho Lewe
This study proposes a deep learning model utilizing the BACnet (Building Automation and Control Network) protocol for the real-time detection of mechanical faults and security vulnerabilities in building automation systems. Integrating various machine le...
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Fan Ding, Min Liu, Simon M. Hsiang, Peng Hu, Yuxiang Zhang and Kewang Jiang
The complexity and uncertainty of construction projects contribute to low efficiency in the construction industry. This research applied the Takt-time planning method to optimize the construction working process, and proposed a risk control framework bas...
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Kunda Chamatete and Çaglar Yalçinkaya
Three-dimensional concrete printing (3DCP) is of great interest to scientists and the construction industry to bring automation to structural engineering applications. However, studies on the thermal performance of three-dimensional printed concrete (3DP...
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