Results 1 to 10 of about 24,116 (282)
Optimizing Inverse Distance Weighting with Particle Swarm Optimization [PDF]
Applied Sciences, 2020 Spatial analysis of hydrological data often requires the interpolation of a variable from point samples. Commonly used methods for solving this problem include Inverse Distance Weighting (IDW) and Kriging (KG). IDW is easily extensible, has a competitive
Alina Barbulescu +2 more
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Geosciences, 2021 The inverse-distance weighting interpolation is widely used in 3D geological modeling and directly affects the accuracy of models. With the development of “smart” or “intelligent” geology, classical inverse-distance weighting interpolation cannot meet ...
Zhen Liu +4 more
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Active learning for regression by inverse distance weighting
Information Sciences, 2023 This paper proposes an active learning (AL) algorithm to solve regression problems based on inverse-distance weighting functions for selecting the feature vectors to query. The algorithm has the following features: (i) supports both pool-based and population-based sampling; (ii) is not tailored to a particular class of predictors; (iii) can handle ...
Alberto Bemporad
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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
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A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression [PDF]
Lecture Notes in Computer Science, 2020 Inverse Distance Weighting (IDW) is a widely adopted interpolation algorithm. This work presents a novel formulation for IDW which is derived from a weighted linear regression. The novel method is evaluated over study cases related to elevation data, climate and also on synthetic data.
Leonardo Ramos Emmendorfer +2 more
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Enhancement of inverse-distance-weighting 2D interpolation using accelerated decline [PDF]
Reports on Geodesy and Geoinformatics, 2023 Two-dimensional interpolation – or surface fitting – is an approximation tool with applications in geodetic datum transformations, terrain modelling and geoid determination.
Ruffhead Andrew Carey
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Inverse distance weighting to rapidly generate large simulation datasets. [PDF]
J Biomech, 2023 Obtaining large biomechanical datasets for machine learning is an ongoing challenge. Physics-based simulations offer one approach for generating large datasets, but many simulation methods, such as computed muscle control (CMC), are computationally costly. In contrast, interpolation methods, such as inverse distance weighting (IDW), are computationally
Kearney KM, Harley JB, Nichols JA.
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Inverse distance weighting attention
CoRR, 2023 Associative Memory & Hopfield Networks Workshop at NeurIPS ...
McCarter, Calvin
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, 2021 Once we measure the values of a physical quantity at certain spatial locations, we need to interpolate these values to estimate the value of this quantity at other locations x. In geosciences, one of the most widely used interpolation techniques is inverse distance weighting, when we combine the available measurement results with the weights inverse ...
Laxman Bokati +2 more
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FIDWaC - Fast inverse distance weighting and compressionDatasets
SoftwareXFIDWaC (Fast Inverse Distance Weighting and Compression) is a Python-based toolkit designed for efficient processing and storage of compressed geospatial data.
Andrzej Łysko +5 more
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