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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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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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Ngoc-Minh Kieu, Irfan Ullah, Jongbin Park, Hojune Bae, Meeryoung Cho, Keonwoo Lee and Seoyong Shin
Daylighting has emerged as a prominent strategy for elevating indoor environments by harmonizing visual comfort and energy efficiency. This paper introduces a louver system crafted for energy simulations, specifically tailored to address lighting and coo...
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Lei Zhang, Cuikun Wang, Caihua Chen and Mingzhe Cui
Against the backdrop of China?s continuous promotion of green and low-carbon transformation and the development of construction industrialization, high-strength composite structural systems have significant development prospects. However, their research ...
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Subin Kim, Heejin Hwang, Keunyeong Oh and Jiuk Shin
The seismically deficient column details in existing reinforced concrete buildings affect the overall behavior of the building depending on the failure type of the column. The purpose of this study is to develop and validate a machine-learning-based pred...
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Alon Urlainis, Monica Paciuk and Igal M. Shohet
This study investigates the life expectancy (LE) and life cycle costs (LCC) of three alternatives of interior partitions in residential units: gypsum board, autoclaved concrete block, and hollow concrete block partitions. The aim is to examine the sustai...
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Jun Wang, Zhenhua Liu, Jia Hou and Mengmeng Ge
As an emerging method in engineering construction, concrete 3D printing has experienced rapid development in recent years due to its advantages in terms of automation, digitization, and intelligence. In order to comprehensively understand the research pr...
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Merve Keskin, Vassilios Krassanakis and Arzu Çöltekin
This study investigates how expert and novice map users? attention is influenced by the map design characteristics of 2D web maps by building and sharing a framework to analyze large volumes of eye tracking data. Our goal is to respond to the following r...
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Dadi Zhang, Kwok-Wai Mui and Ling-Tim Wong
In the past two decades, with advances in data collection and in analytical techniques and tools, there has been a significant increase in research on indoor environmental quality (IEQ) assessment. To better understand the relationships between the overa...
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Haiyang Liu and Enlin Ma
The concentration of atmospheric greenhouse gases is being amplified by human activity. Building energy consumption, particularly for heating and cooling purposes, constitutes a significant proportion of overall energy demand. This research aims to estab...
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