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Jan Erik Zeriadtke, Joël Martin and Viola Wartemann
The performance of hybrid rocket engines is significantly influenced by the fuel geometry. Burnback simulations, to determine the fuel surface and fluid volume, are therefore an important tool for preliminary design. This work presents a method for the s...
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Liang Liu, Tianbin Li and Chunchi Ma
Three-dimensional (3D) models provide the most intuitive representation of geological conditions. Traditional modeling methods heavily depend on technicians? expertise and lack ease of updating. In this study, we introduce a deep learning-based method fo...
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Nicolae-Valentin Vladu?, Nicoleta Ungureanu, Sorin-Stefan Biris, Iulian Voicea, Florin Nenciu, Iuliana Gageanu, Dan Cujbescu, Lorena-Diana Popa, Sorin Boruz, Gheorghe Matei, Adam Ekielski and Gabriel-Ciprian Teliban
Starting from the influencing parameters of threshing and separation and implicit seed losses that occur within this process, this paper searched for and identified the optimal threshing regimes to minimize losses depending on the process parameters. The...
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Xiaoyu Han, Chenyu Li, Zifan Wang and Guohua Liu
Neural architecture search (NAS) has shown great potential in discovering powerful and flexible network models, becoming an important branch of automatic machine learning (AutoML). Although search methods based on reinforcement learning and evolutionary ...
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Pedro Areias, Rodrigo Correia and Rui Melicio
For the analysis of low-speed incompressible fluid dynamics with turbulence around airfoils, we developed a finite element formulation based on a stabilized pressure and velocity formulation. To shape the optimization of bidimensional airfoils, this form...
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Can Cui, Jiwei Qin and Qiulin Ren
Representation learning-based collaborative filtering (CF) methods address the linear relationship of user-items with dot products and cannot study the latent nonlinear relationship applied to implicit feedback. Matching function learning-based CF method...
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Yutai Yang, Weizhe Sun and Guoshao Su
Aiming at the characteristics of high computational cost, implicit expression and high nonlinearity of performance functions corresponding to large and complex structures, this paper proposes a support-vector-machine- (SVM) based grasshopper optimization...
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Yunxiang Xia, Tatsuma Okazaki, Kenya Uemura and Shinichi Izumi
Our work provided a simpler paradigm for measuring implicit body representation of the hand and highlighted its potential biomarker function for clinical practice in neurorehabilitation as it could be enlarged by repetitive peripheral magnetic stimulatio...
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Lei Niu, Hongmao Tu, Haiping Dong and Nan Yan
A functional reliability simulation method based on the Kriging model is proposed to efficiently evaluate the functional reliability of low-shock separation nuts. First, a deterministic separation function simulation model of the separation nut is establ...
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Zhe Sun, Li-Yuan Dou, Si-Yuan Tan, Zi-Kai Xu, Kamal Djidjeli and Yan Zhou
When dealing with the complex deformation of free surface such as wave breaking, traditional mesh-based Computational Fluid Dynamics (CFD) methods often face problems arising alongside grid distortion and re-meshing. Therefore, the meshless method became...
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