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Benchmarking imputation strategies for missing time-series data in critical care using real-world-inspired scenarios. [PDF]
Poette M +5 more
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Abrasivity behavior analysis and fuzzy stochastic prediction of weakly cemented sandstones using an improved RBF neural network for quantifying uncertainties. [PDF]
Yao Y, Lin J, Li X, Li Y.
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Fracture mechanics using the Natural Neighbour Radial Point Interpolation Method
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A point interpolation meshless method based on radial basis functions
International Journal for Numerical Methods in Engineering, 2002AbstractA point interpolation meshless method is proposed based on combining radial and polynomial basis functions. Involvement of radial basis functions overcomes possible singularity associated with the meshless methods based on only the polynomial basis. This non‐singularity is useful in constructing well‐performed shape functions.
Wang, J.G., Liu, G.R.
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Meshfree simulations of acoustic problems by a radial point interpolation method
Ocean Engineering, 2020Abstract The classical finite element approach cannot guarantee satisfactory accuracy for acoustic problems at large wavenumbers on account of the numerical pollution error effect. This negative effect stems from the fact that the approximate wavenumbers are usually in conflict with the real wavenumbers in many numerical methods.
Xiangyu You +4 more
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Meshfree radial point interpolation method for analysis of viscoplastic problems
Engineering Analysis with Boundary Elements, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kazemi, Z. +2 more
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The radial point interpolation method for plasma modeling
2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2017Meshless methods have proposed recently to solve electromagnetic problems for some advantages. This paper extends the meshless radial point interpolation method (RPIM) to the application of electromagnetics with the plasma media. The discretized equations for a plasma driven by an electric field is derived with the shape function expansion ...
Yang Wu +2 more
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