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Deema Almaskati, Sharareh Kermanshachi, Apurva Pamidimukkala, Karthikeyan Loganathan and Zhe Yin
Hazard identification is a fundamental step in safety management that has the potential to reduce the number and severity of occupational injuries on construction sites. Researchers have identified and evaluated some of the hazards, but few have extensiv...
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Shalaka Hire, Sayali Sandbhor and Kirti Ruikar
With developments in Industry 4.0, there is growing momentum to adopt technology-assisted tools to support existing processes. Even though most construction processes are now computerized, safety procedures have not yet fully embraced the digital revolut...
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Xiazhong Zheng, Yu Wang, Yun Chen, Qin Zeng and Lianghai Jin
Improving the hazard identification ability of workers is an important way to reduce safety accidents at construction sites. Although previous studies have succeeded in improving hazard identification performance, an important gap is that they consider o...
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Juseong Lee, Mihaela Mitici, Henk A. P. Blom, Pierre Bieber and Floris Freeman
The increasing use of on-board sensor monitoring and data-driven algorithms has stimulated the recent shift to data-driven predictive maintenance for aircraft. This paper discusses emerging challenges for data-driven predictive aircraft maintenance. We i...
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Feifei Tao, Yanling Pi, Menghua Deng, Yongjun Tang and Chi Yuan
With the rise of artificial intelligence and big data technologies, it is increasingly significant to apply these emerging technologies to scientific decision-making in water conservancy project construction management in the face of many problems in the...
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Zhiyuan Wang, Yong Wu, Xiumin Chu, Chenguang Liu and Mao Zheng
Collision risk identification is an important basis for intelligent ship navigation decision-making, which evaluates results that play a crucial role in the safe navigation of ships. However, the curvature, narrowness, and restricted water conditions of ...
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Alberto Gracia, Francisco Javier Torrijo, Julio Garzón-Roca, Miguel Pérez-Picallo and Olegario Alonso-Pandavenes
Sinkholes are a severe problem in urban areas located in karstic regions, especially where evaporitic rocks such as gypsum exist. Identification and proposal of mitigation measures are needed to reduce this geo-hazard effect on buildings and social urban...
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Md Iltaf Zafar, Shruti Bharadwaj, Rakesh Dubey, Saurabh Kr Tiwary and Susham Biswas
The accurate prediction of noise levels at outdoor locations requires detailed data of the noise sources and terrain parameters and an efficient model for prediction. However, the possibility of predicting noise with reasonable accuracy using less input ...
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Pentile Thong, Uttam Thangjam, Uttam Kumar Sahoo, Raul Pascalau, Piotr Prus and Laura Smuleac
Climate change exerts a substantial influence on global livelihood security. This research aims to elucidate the risk faced by agroforestry managers of urban and rural areas. Adhering to the IPCC risk framework, we structured the experimental design and ...
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Faisal Mahmood, Seyed M. Hashemi and Hekmat Alighanbari
Growing concerns over the CO2 footprint due the exponential demand of the aviation industry, along with the requirements for high aerodynamic performance, cost saving, and manoeuvrability during different phases of a flight, pave the path towards adaptab...
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