Results 21 to 30 of about 560,103 (319)
Advances in Mechanical Engineering, 2013 In general, proper orthogonal decomposition (POD) method is used to deal with single-parameter problems in engineering practice, and the linear interpolation is employed to establish the reduced model.
Xiaolong Wang +7 more
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Accuracy of compact-stencil interpolation algorithms for unstructured mesh finite volume solver
Heliyon, 2021 This study considers the accuracy of cell-to-face centre interpolation of convected quantities in unstructured finite volume meshes with cell-centred storage of variables.
Adek Tasri, Anita Susilawati
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Bayesian interpolation with deep linear networks
Proceedings of the National Academy of Sciences, 2023 Characterizing how neural network depth, width, and dataset size jointly impact model quality is a central problem in deep learning theory. We give here a complete solution in the special case of linear networks with output dimension one trained using zero noise Bayesian inference with Gaussian weight priors and mean squared error as a negative log ...
Boris Hanin, Alexander Zlokapa
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Video Frame Interpolation Based on Symmetric and Asymmetric Motions
IEEE Access, 2023 Video frame interpolation is the task to synthesize intermediate frames between consecutive frames to increase the frame rate. Recently, various deep-learning techniques have been proposed to interpolate intermediate frames more reliably.
Whan Choi, Yeong Jun Koh, Chang-Su Kim
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Sparse-view tomography via displacement function interpolation
Visual Computing for Industry, Biomedicine, and Art, 2019 Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected.
Gengsheng L. Zeng
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Shifted Linear Interpolation Filter
Journal of Signal and Information Processing, 2010 Linear interpolation has been adapted in many signal and image processing applications due to its simple implementa-tion and low computational cost. In standard linear interpolation the kernel is the second order B-spline β2(t). In this work we show that the interpolation error can be remarkably diminished by using the time-shifted B-spline β2(t)-Δas ...
Olkkonen, H., Olkkonen, Juuso, T.
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Frontiers in Physiology, 2018 The purpose of this study is to quantitatively analyze the effect of an ectopic beat on heart rate variability (HRV) in the time domain, frequency domain, and in a non-linear analysis.
Ahyoung Choi, Hangsik Shin
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Harmonic Vector Error Analysis Based on Lagrange Interpolation
IEEE Access, 2021 With the development of smart substations and the promotion of 61850 standards, sampling values based on IEC61850-9-2 have become an important part of smart substation construction.
Zhaoyun Zhang, Qitong Wang, Zhi Zhang
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Interpolation Polynomials and Linear Algebra
, 2022 15 ...
Askold, Khovanskii +2 more
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Missing-data imputation using wearable sensors in heart rate variability [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 The objective of this work is to set up a methodology that considers missing data from a connected heartbeat sensor in order to propose a good replacement methodology in the context of heart rate variability (HRV) computation. The framework is a research
A. Tlija, K. Węgrzyn-Wolska, D. Istrate
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