Enhancing Off-Road Topography Estimation by Fusing LIDAR and Stereo Camera Data with Interpolated Ground Plane by Gustav Sten, Lei Feng, Björn Möller

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A Frame-Based Conjugate Gradients Direct Search Method with Radial Basis Function Interpolation Model by Xiaowei Fang, Qin Ni

“…In this paper, we propose a new hybrid direct search method where a frame-based PRP conjugate gradients direct search algorithm is combined with radial basis function interpolation model. In addition, the rotational minimal positive basis is used to reduce the computation work at each iteration. …”
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Interpolating Stabilized Element Free Galerkin Method for Neutral Delay Fractional Damped Diffusion-Wave Equation by Mostafa Abbaszadeh, Mehdi Dehghan, Mahmoud A. Zaky, Ahmed S. Hendy

“…The energy method is used to investigate the rate of convergence and unconditional stability of the temporal discretization. The interpolation of moving Kriging technique is then used to approximate the space derivative, yielding a meshless numerical formulation. …”
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Spatial Interpolation of Daily Rainfall Data for Local Climate Impact Assessment over Greater Sydney Region by Xihua Yang, Xiaojin Xie, De Li Liu, Fei Ji, Lin Wang

“…This paper presents spatial interpolation techniques to produce finer-scale daily rainfall data from regional climate modeling. …”
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A High Accuracy Numerical Method Based on Interpolation Technique for Time-Fractional Advection-Diffusion Equations by Yan Chen, Xindong Zhang

“…In this paper, the time-fractional advection-diffusion equation (TFADE) is solved by the barycentric Lagrange interpolation collocation method (BLICM). In order to approximate the fractional derivative under the definition of Caputo, BLICM is used to approximate the unknown function. …”
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Solution of Cauchy-Type Singular Integral Equations of the First Kind with Zeros of Jacobi Polynomials as Interpolation Nodes by G. E. Okecha

“…A quadrature rule based on Lagrangian interpolation, with the zeros of Jacobi polynomials as nodes, is developed to solve these equations. …”
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Local uniform convexity and Kadec-Klee type properties in K-interpolation spaces I: General Theory by Peter G. Dodds, Theresa K. Dodds, Alexander A. Sedaev, Fyodor A. Sukochev

“…We present a systematic study of the interpolation of local uniform convexity and Kadec-Klee type properties in K-interpolation spaces. …”
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Global Navigation Satellite System (GNSS) radio occultation climatologies mapped by machine learning and Bayesian interpolation by E. Shehaj, E. Shehaj, S. Leroy, K. Cahoy, A. Geiger, L. Crocetti, G. Moeller, G. Moeller, B. Soja, M. Rothacher

“…</p> <p>In this work, we investigate the potential of machine learning (ML) to construct RO climatologies and compare the results of an ML construction with Bayesian interpolation (BI), a state-of-the-art method to generate maps of RO products. …”
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Numerical Solution for Third-Order Two-Point Boundary Value Problems with the Barycentric Rational Interpolation Collocation Method by Qian Ge, Xiaoping Zhang

“…With the barycentric rational interpolation collocation method, the matrix form of the third-order two-point boundary value problem is obtained, and the convergence and error analysis are obtained. …”
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Information Diffusion Interpolation Model Based on the PSO-CV Algorithm and Its Application on Source Regions of the Yellow River by HUANG Huaping, YIN Kaixia, JIN Gaoyang

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A Fuzzy Interpolation Cross-Correlation Method for Time-Delay Estimation of Partial Discharge UHF Pulse Signals by Bowen Guo, Songyuan Li, Qinghua Tang, Lin Li, Pengfei Li

“…In this work, the fuzzy interpolation inference method was applied to interpolate intermediate values into the feature area of the PD UHF signal to improve the sampling rate, and then the cross-correlation method was used to estimate the time delay. …”
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A Comparison of Standard One-Step DDA Circular Interpolators with a New Cheap Two-Step Algorithm by Leonid Moroz, Jan L. Cieśliński, Marta Stakhiv, Volodymyr Maksymovych

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A Component-Based Parametric Reduced-Order Modeling Method Combined with Substructural Matrix Interpolation and Automatic Sampling by Ying Liu, Hongguang Li, Yun Li, Huanyu Du

“…An efficient parametric reduced-order modeling method combined with substructural matrix interpolation and automatic sampling procedure is proposed. …”
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EEG-Based Emotion Recognition with Combined Fuzzy Inference via Integrating Weighted Fuzzy Rule Inference and Interpolation by Fangyi Li, Fusheng Yu, Liang Shen, Hexi Li, Xiaonan Yang, Qiang Shen

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Increasing ADC dynamic range in information-measuring systems by methods of digital signal processing by B. V. Chuvykin, M. M. Nikiforov

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Retracted: Application of Empirical Orthogonal Function Interpolation to Reconstruct Hourly Fine Particulate Matter Concentration Data in Tianjin, China by null Complexity

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On geometry of fixed figures via φ−interpolative contractions and application of activation functions in neural networks and machine learning models by Khairul Habib Alam, Yumnam Rohen, Anita Tomar, Mohammad Sajid

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A Family of Modified Even Order Bernoulli-Type Multiquadric Quasi-Interpolants with Any Degree Polynomial Reproduction Property by Ruifeng Wu, Huilai Li, Tieru Wu

“…Finally, applying our operators to the fitting of discrete solutions of initial value problems, we find that our method has smaller errors than the Runge-Kutta method of order 4 and Wang et al.’s quasi-interpolation scheme.…”
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Sur la géométrie des ensembles de nœuds pour l’interpolation de Lagrange en plusieurs variables by Bertrand, François

“…Given a valid set $X$ of interpolation points for Lagrange interpolation of degree $d$ in $n$ variables we study how many subsets of $X$ can be chosen in order to obtain a valid set of interpolation points of degree $d-1$. …”
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Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm by Mei Hong, Ren Zhang, Dong Wang, Longxia Qian, Zhenghua Hu

“…We established a new information diffusion model based on genetic algorithm (GIDM) for spatial interpolating of runoff in the ungauged basins. Genetic algorithms (GA) are used to generate high-quality solutions to optimization and search problems. …”
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