Results 1 to 10 of about 113,501 (222)
Lietuvos Matematikos Rinkinys, 2000 There is not abstract.
Kęstutis Dučinskas +2 more
doaj +5 more sources
Review of the Kriging Technique Applications to Groundwater Quality
Journal of Engineering, 2021 Kriging, a geostatistical technique, has been used for many years to evaluate groundwater quality. The best estimation data for unsampled points were determined by using this method depending on measured variables for an area.
Hayat Azawi, May Samir Saleh
doaj +1 more source
Spatial interpolation of water quality index based on Ordinary kriging and Universal kriging
Geomatics, Natural Hazards & Risk, 2023 Water is a very vital needed substance in order to maintain the important activities of humans. However, contaminated water can transmit diseases such as typhoid, dysentery, diarrhea, cholera and polio.
Mohsin Khan +5 more
semanticscholar +1 more source
Inductive Graph Neural Networks for Spatiotemporal Kriging [PDF]
AAAI Conference on Artificial Intelligence, 2020 Time series forecasting and spatiotemporal kriging are the two most important tasks in spatiotemporal data analysis. Recent research on graph neural networks has made substantial progress in time series forecasting, while little attention has been paid ...
Yuankai Wu +3 more
semanticscholar +1 more source
Applications of multi-fidelity multi-output Kriging to engineering design optimization
Structural And Multidisciplinary Optimization, 2023 Surrogate modelling is a popular approach for reducing the number of high fidelity simulations required within an engineering design optimization. Multi-fidelity surrogate modelling can further reduce this effort by exploiting low fidelity simulation ...
David J. J. Toal
semanticscholar +1 more source
Mathematics, 2021 The Kriging surrogate model in complex simulation problems uses as few expensive objectives as possible to establish a global or local approximate interpolation.
Yaohui Li +5 more
doaj +1 more source
Aerospace, 2023 To achieve the low-cycle fatigue (LCF) lifetime prediction and reliability estimation of turbine blisks, a Marine Predators Algorithm (MPA)-based Kriging (MPA-Kriging) method is developed by introducing the MPA into the Kriging model.
Gaiya Feng, Jiongran Wen, Chengwei Fei
doaj +1 more source
State-of-the-Art and Comparative Review of Adaptive Sampling Methods for Kriging
Archives of Computational Methods in Engineering, 2020 Metamodels aim to approximate characteristics of functions or systems from the knowledge extracted on only a finite number of samples. In recent years kriging has emerged as a widely applied metamodeling technique for resource-intensive computational ...
J. Fuhg, A. Fau, U. Nackenhorst
semanticscholar +1 more source
Sustainable cities and society, 2020 Anthropogenic airborne particulates are among the major contributors to urban air pollution and pose a significant health risk. Particulate matter has emerged as a serious pollution threat in India, specifically to the capital—New Delhi. The objective of
Komal Shukla +3 more
semanticscholar +1 more source
Kriging Convolutional Networks [PDF]
AAAI Conference on Artificial Intelligence, 2020 Spatial interpolation is a class of estimation problems where locations with known values are used to estimate values at other locations, with an emphasis on harnessing spatial locality and trends.
G. Appleby, Linfeng Liu, Liping Liu
semanticscholar +1 more source