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Thalosang Tshireletso, Pilate Moyo and Matongo Kabani
A nonparametric machine learning model was used to study the behaviour of the variables of a concrete arch dam: Roode Elsberg dam. The variables used were ambient temperature, water temperatures, and water level. Water temperature was measured using twel...
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Yanjun Liu, Yifan Xue, Shuting Huang, Gang Xue and Qianfeng Jing
Reducing the carbon emissions of ships and increasing the utilization of marine renewable energy are the important ways to achieve the goal of carbon neutrality in ocean engineering. Establishing an accurate mathematical model is the foundation of simula...
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Chunlai Qu, Jing Li, Lei Yan, Pengtao Yan, Fang Cheng and Dongyang Lu
Under changing environments, the most widely used non-stationary flood frequency analysis (NFFA) method is the generalized additive models for location, scale and shape (GAMLSS) model. However, the model structure of the GAMLSS model is relatively comple...
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Hongbing Liu, Xiaoyu Diao and Huaping Guo
Parametric granular computing classification algorithms lead to difficulties in terms of parameter selection, the multiple performance times of algorithms, and increased algorithm complexity in comparison with nonparametric algorithms. We present nonpara...
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Zhen Li, Tao Tang and Chunhai Gao
The automatic train operation system is a significant component of the intelligent railway transportation. As a fundamental problem, the construction of the train dynamic model has been extensively researched using parametric approaches. The parametric b...
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