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Yiming Gong, Chuanqiang Gao and Weiwei Zhang
The main buffet suppression techniques of aircrafts include active and passive flow control, aiming to reduce the impact of the fluctuating loads on the airfoil. These techniques are remedies after the airfoil design. The buffet suppression is not always...
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Stjepan Pilicic, Ante Skoblar, Roberto ?igulic and Luka Traven
For some sound sources, the function of the square of sound pressure amplitudes on the sphere in the far field is an integrable function or can be integrated with geometrical simplifications, so an exact or approximated analytical expression for the soun...
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Siyuan Xing and Jian-Qiao Sun
The Gaussian-radial-basis function neural network (GRBFNN) has been a popular choice for interpolation and classification. However, it is computationally intensive when the dimension of the input vector is high. To address this issue, we propose a new fe...
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Seungwoog Jung, Seungwan Han and Hoon Choi
The comprehensive and accurate assessment of the indoor air quality (IAQ) in large spaces, such as offices or multipurpose facilities, is essential for IAQ management. It is widely recognized that various IAQ factors affect the well-being, health, and pr...
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Yi Zhao, Haibin Shi, Qingfeng Miao, Shuya Yang, Zhiyuan Hu, Cong Hou, Cuicui Yu and Yan Yan
The Hetao Irrigation District is a typical salinized irrigation district in China, and soil salinization restricts agricultural development. To explore the spatial and temporal variability of soil water and salt and the coupling relationship in the Hetao...
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Micah Lourdes Felix and Kwansue Jung
Precipitation is a significant input variable required in hydrological models such as the Soil & Water Assessment Tool (SWAT). The utilization of inaccurate precipitation data can result in the poor representation of the true hydrologic conditions of...
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Baiwei Feng, Chengsheng Zhan, Zuyuan Liu, Xide Cheng and Haichao Chang
Basis functions are key in constructing interpolation equations in hull surface modification based on radial basis functions (RBF) interpolation. However, few have studied the selection of basis functions in depth. By comparing several typical basis func...
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Saleh A. Bawazeer, Saleh S. Baakeem and Abdulmajeed A. Mohamad
Radial basis function (RBF) is gaining popularity in function interpolation as well as in solving partial differential equations thanks to its accuracy and simplicity. Besides, RBF methods have almost a spectral accuracy. Furthermore, the implementation ...
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Yunfei Yang, Haiwen Tu, Lei Song, Lin Chen, De Xie and Jianglong Sun
Resistance is one of the important performance indicators of ships. In this paper, a prediction method based on the Radial Basis Function neural network (RBFNN) is proposed to predict the resistance of a 13500 transmission extension unit (13500TEU) conta...
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Nicola Demo, Marco Tezzele, Andrea Mola and Gianluigi Rozza
In the field of parametric partial differential equations, shape optimization represents a challenging problem due to the required computational resources. In this contribution, a data-driven framework involving multiple reduction techniques is proposed ...
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