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Qiang Yang, Xiaojie Yan, Wenkai Chen and Juncheng Fan
With the rapid development of the construction industry, there have been an uncountable number of damages caused by safety accidents at construction sites. Traditional safety management methods are no longer able to meet the needs of production. This pap...
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Sorin Zoican, Roxana Zoican, Dan Galatchi and Marius Vochin
This paper illustrates a general framework in which a neural network application can be easily integrated and proposes a traffic forecasting approach that uses neural networks based on graphs. Neural networks based on graphs have the advantage of capturi...
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Nisrine Iouzzi, Mouldi Ben Meftah, Mehdi Haffane, Laila Mouakkir, Mohamed Chagdali and Michele Mossa
Oil spills are one of the most hazardous pollutants in marine environments with potentially devastating impacts on ecosystems, human health, and socio-economic sectors. Therefore, it is of the utmost importance to establish a prompt and efficient system ...
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Yakob Umer, Victor Jetten, Janneke Ettema and Gert-Jan Steeneveld
This study configures the Weather Research and Forecasting (WRF) model with the updated urban fraction for optimal rainfall simulation over Kampala, Uganda. The urban parameter values associated with urban fractions are adjusted based on literature revie...
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Navid Moradpoor, Mohsen Najarchi and Seyed Mohammad Mirhoseini Hezave
Ilam province is located in the southwest of Iran, and the primary motivation for this research is to study different dimensions of rainfall fluctuations in the Ilam province. This study is of great importance for the management of the environment in ter...
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Sen Wang, Jintai Gong, Haoyu Gao, Wenjie Liu and Zhongkai Feng
In the hydrology field, hydrological forecasting is regarded as one of the most challenging engineering tasks, as runoff has significant spatial?temporal variability under the influences of multiple physical factors from both climate events and human act...
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Qinmeng Yang, Ningming Nie, Yangang Wang, Xiaojing Wu, Weihua Liu, Xiaoli Ren, Zijian Wang, Meng Wan and Rongqiang Cao
Gross primary productivity (GPP) is an important indicator in research on carbon cycling in terrestrial ecosystems. High-accuracy GPP prediction is crucial for ecosystem health and climate change assessments. We developed a site-level GPP prediction meth...
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Qiang Yang, Xu Zhang, Zhongren Zhang, Longjiang He, Xiaojie Yan and Jiaming Na
The spatial?temporal simulation of fire disasters and evacuation route planning are important research fields for urban emergency responses and are primary tasks that answer complex questions after fires break out. The increasing demand for refined build...
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Xin-Yi Yuan, Yue Hua, Nadine Aubry, Mansur Zhussupbekov, James F. Antaki, Zhi-Fu Zhou and Jiang-Zhou Peng
This study develops a data-driven reduced-order model based on a deep convolutional neural network (CNN) for real-time and accurate prediction of the drug trajectory and concentration field in transarterial chemoembolization therapy to assist in directin...
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Cuiping Kuang, Xuejian Han, Jiabo Zhang, Qingping Zou and Boling Dong
Beach nourishment, a common practice to replenish an eroded beach face with filling sand, has become increasingly popular as an environmentally friendly soft engineering measure to tackle coastal erosion. In this study, three 200 m long offshore submerge...
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