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Artificial Intelligence for Pre-Anaemic Iron Deficiency Detection Using Rich Complete Blood Count Data

Kreuter D, Taylor J, Deltadahl S, Besser M, Bradley JR, Gilbey J, Kaptoge S, Kingston N, Ouwehand WH, Roberts D, Shamardina O, Stirrups KE, Swinkels D, Vuckovic D, STRIDES NIHR BioResource, STRIDES Trial, BloodCounts! Consortium, Rudd JH, Angelantonio ED, Schönlieb C, Nachev P, Sivapalaratnam S, Gleadall NS, Roberts M.   +23 more
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Quantics Tensor Cross Interpolation for High-Resolution Parsimonious Representations of Multivariate Functions.

Physical Review Letters, 2023
Multivariate functions of continuous variables arise in countless branches of science. Numerical computations with such functions typically involve a compromise between two contrary desiderata: accurate resolution of the functional dependence, versus ...
Marc K. Ritter, Yuriel Núñez Fernández, M. Wallerberger, J. von Delft, H. Shinaoka, X. Waintal   +5 more
semanticscholar   +1 more source

CoYangCZ: a new spatial interpolation method for nonstationary multivariate spatial processes

International Journal of Geographical Information Science, 2023
In multivariate spatial interpolation, the accuracy of a variable of interest can be improved using ancillary variables. Although geostatistical methods are widely used for multivariate spatial interpolation, these methods usually require second-order ...
Qiliang Liu, Yongchuan Zhu, Jie Yang, Xiancheng Mao, Min Deng   +4 more
semanticscholar   +1 more source

Multivariate rational interpolation

Computing, 1985
Many papers have already been published on the subject of multivariate polynomial interpolation and also on the subject of multivariate Pade approximation. But the problem of multivariate rational interpolation has only very recently been considered; we refer among others to [8] and [3].
Cuyt, Annie A.M., Verdonk, B.M.
openaire   +3 more sources

Multivariate interpolation and information entropy for optimizing raingauge network in the Mekong River Basin

Hydrological Sciences Journal, 2019
The applicability of multivariate interpolation and information entropy to optimize the raingauge network in the Mekong River Basin (MRB) is investigated.
Shuangshuang Li, S. Heng, Sokly Siev, C. Yoshimura, O. Saavedra, S. Ly   +5 more
semanticscholar   +1 more source

Novel meshes for multivariate interpolation and approximation

ACM Southeast Regional Conference, 2018
A rapid increase in the quantity of data available is allowing all fields of science to generate more accurate models of multivariate phenomena. Regression and interpolation become challenging when the dimension of data is large, especially while ...
T. Lux, L. Watson, Tyler H. Chang, Jon Bernard, Bo Li, Xiaodong Yu, Li Xu, Godmar Back, A. Butt, K. Cameron, D. Yao, Yili Hong   +11 more
semanticscholar   +1 more source

Error Analysis of Multivariate Wind Field Simulated by Interpolation-Enhanced Spectral Representation Method

Journal of engineering mechanics, 2020
An interpolation-based technique can effectively reduce the computational demand involved in a traditional simulation of the multivariate wind field utilizing the spectral representation me...
T. Tao, Hao Wang, Liang-jun Hu, A. Kareem   +3 more
semanticscholar   +1 more source