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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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Ebuka Valentine Iroha, Tsunemi Watanabe and Tsuchiya Satoshi
Many studies have been conducted on the poor performance of the construction industry. Nigeria?s construction industry has been linked to project delays and cost overruns, leading to many abandoned construction projects throughout the country. These issu...
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Razieh Karimi, Milad Baghalzadeh Shishehgarkhaneh, Robert C. Moehler and Yihai Fang
This systematic literature review examines the effects of social media use (SMU) and practices (SMPs) on team feedback (TF) and performance (TP) within the context of construction project management. It explores the complex interactions between SMU and S...
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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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Haneul Lee and Seokheon Yun
Accurately predicting construction costs during the initial planning stages is crucial for the successful completion of construction projects. Recent advancements have introduced various machine learning-based methods to enhance cost estimation precision...
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G. G. Md. Nawaz Ali, Mohammad Nazmus Sadat, Md Suruz Miah, Sameer Ahmed Sharief and Yun Wang
Recently, the Third Generation Partnership Project (3GPP) introduced new radio (NR) technology for vehicle-to-everything (V2X) communication to enable delay-sensitive and bandwidth-hungry applications in vehicular communication. The NR system is strategi...
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Eugene Levner, Vladimir Kats, Pengyu Yan and Ada Che
High-throughput screening systems are robotic cells that automatically scan and analyze thousands of biochemical samples and reagents in real time. The problem under consideration is to find an optimal cyclic schedule of robot moves that ensures maximum ...
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Zahra Ameli, Shabnam Jafarpoor Nesheli and Eric N. Landis
The application of deep learning (DL) algorithms has become of great interest in recent years due to their superior performance in structural damage identification, including the detection of corrosion. There has been growing interest in the application ...
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Rafiu Oyelakin, Wenyu Yang and Peter Krebs
Fitting probability distribution functions to observed data is the standard way to compute future design floods, but may not accurately reflect the projected future pattern of extreme events related to climate change. In applying the latest coupled model...
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Xiaoyan Shi, Fuming Yang, Enzhu Hou and Zhongzhu Liang
Metalenses, with their unique modulation of light, are in great demand for many potential applications. As a proof-of-principle demonstration, we focus on designing SiO2 metalenses that operate in the deep ultraviolet region, specifically around 193 nm. ...
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