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Sangwan Lee, Jicheol Yang, Kuk Cho and Dooyong Cho
This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Val...
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Francesco Petrosino and Mattia Barbarino
Scientific research studies on jet noise generation have been ongoing since the early 1950s, when turbojets were first used in commercial aircraft. Several numerical methods have been developed with the aim of reducing the environmental issues related to...
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Chi-Min Chiu, Laurence Zsu-Hsin Chuang, Wei-Liang Chuang, Li-Chung Wu, Ching-Jer Huang and Yinglong Joseph Zhang
This study aims to establish a comprehensive workflow for developing emergency response plans for both actual and scenario oil spill incidents in the Taiwan waters while addressing the resource allocation for oil spill containment as well. This workflow ...
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Madinah Shamsu and Muhammad Akbar
Hurricane storm surges are influenced by wind intensity, forward speed, width and slope of the ocean bottom, central pressure, angle of approach, shape of coastal lines, local features, and storm size. A numerical experiment is conducted using the Advanc...
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Huier Mo, Yinghao Qin, Liying Wan, Yu Zhang, Xing Huang, Yi Wang, Jianyong Xing, Qinglong Yu and Xiangyu Wu
In this study, a global analysis and forecasting system at 1/12° is built for operational oceanography at the National Marine Environmental Forecasting Center (NMEFC) by using the NEMO ocean model (NMEFC-NEMO). First, statistical analysis methods are des...
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