Results 11 to 20 of about 244,714 (312)
Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit [PDF]
Royal Society Open Science, 2017 This paper focuses on designing and implementing parallel adaptive inverse distance weighting (AIDW) interpolation algorithms by using the graphics processing unit (GPU). The AIDW is an improved version of the standard IDW, which can adaptively determine
Gang Mei, Liangliang Xu, Nengxiong Xu
doaj +4 more sources
Downscaling MERRA-2 Reanalysis PM2.5 Series over the Arabian Gulf by Inverse Distance Weighting, Bicubic Spline Smoothing, and Spatio-Temporal Kriging. [PDF]
ToxicsThis study offers a detailed analysis of the fine particulate matter (PM2.5) series in the Arabian Gulf zone, employing three interpolation models, Inverse Distance Weighting (IDW), Bicubic Spline Smoothing (BSS) and Spatio-Temporal Kriging (STK). Unique
Saliba Y, Bărbulescu A.
europepmc +2 more sources
Assessment of Ordinary Kriging and Inverse Distance Weighting Methods for Modeling Chromium and Cadmium Soil Pollution in E-Waste Sites in Douala, Cameroon. [PDF]
J Health Pollut, 2020 Background. Several studies have demonstrated that chromium (Cr) and cadmium (Cd) have adverse impacts on the environment and human health. These elements are present in electronic waste (e-waste) recycling sites.
Ouabo RE, Sangodoyin AY, Ogundiran MB.
europepmc +2 more sources
Inverse distance weighting attention
arXiv.org, 2023 Associative Memory & Hopfield Networks Workshop at NeurIPS ...
Calvin McCarter
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Improving SSA Predictions by Inverse Distance Weighting
Revstat Statistical Journal, 2013 This paper proposes a method of utilizing spatial information to improve predictions in one dimensional time series analysis using singular spectrum analysis (SSA).
Richard O. Awichi , Werner G. Müller
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Engineering Proceedings, 2023 Rainfall data are crucial in hydrology models. In this study, the assessment of two spatial interpolation approaches of Inverse Distance Weighting (IDW) and Local Polynomial Interpolation (LPI) for rainfall in Peninsular Malaysia was conducted. The daily
Ren Jie Chin +4 more
doaj +2 more sources
Journal of Hydrology, 2021 Spatially interpolated temperature and precipitation are hydrological variables that are widely applied in models of ecology, hydrology, agronomy, and other environmental sciences. The accuracy of meteorological data directly determine model performance.
Jianbo Tan +6 more
semanticscholar +3 more sources
A Simple Solution for the Inverse Distance Weighting Interpolation (IDW) Clustering Problem
SciInverse Distance Weighting (IDW) is a common method for spatial interpolation. Still, its accuracy decreases when there is a cluster of measurement stations or when some measuring stations are hidden behind others. This paper introduces Clusters Unifying
Nir Benmoshe
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Global optimization via inverse distance weighting and radial basis functions [PDF]
Computational Optimization and Applications, 2020 AbstractGlobal optimization problems whose objective function is expensive to evaluate can be solved effectively by recursively fitting a surrogate function to function samples and minimizing an acquisition function to generate new samples. The acquisition step trades off between seeking for a new optimization vector where the surrogate is minimum ...
A. Bemporad
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Applied Geomatics, 2020 This paper presents the optimization of the inverse distance weighting method (IDW) in the process of creating a digital terrain model (DTM) of the seabed based on bathymetric data collected using a multibeam echosounder (MBES).
W. Maleika
semanticscholar +3 more sources