Results 31 to 40 of about 1,524 (177)
Dispersion Curve Interpolation Based on Kriging Method
Applied Sciences, 2023 Volcanic eruptions significantly impact human life. However, real-time high-precision imaging in this context still has limitations. Spatial–temporal interpolation can replace real-time data imaging, in order to obtain the state of a given volcano at any
Han Zhang, You Tian, Pengfei Zhao
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Surrogate Assisted Design Optimization of an Air Turbine
International Journal of Rotating Machinery, 2014 Surrogates are cheaper to evaluate and assist in designing systems with lesser time. On the other hand, the surrogates are problem dependent and they need evaluation for each problem to find a suitable surrogate.
Rameez Badhurshah, Abdus Samad
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On the classification error rates in terms of semivariograms for Gaussian universal kriging models
Lithuanian Journal of Statistics, 2021 Bayes multiclass classification of spatial Gaussian data following the universal kriging model is considered. The closed-form expressions for the maximum likelihood (ML) estimator of regression parameters and the actual error rate (AER) in terms of ...
Kęstutis Dučinskas, Lina Dreižienė
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Comparison of sensitivity of interpolation methods by rain gauge network density [PDF]
علوم و مهندسی آبیاریDifferent interpolation methods, each with their own strengths and weaknesses, are used to temporal and spatial estimation of precipitation. The accuracy of this estimate depends on the density of point data measured at rain gauge stations. In this study,
Amin Kanooni, Erfan Faraji Amogein
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A Guide to Bayesian Optimization in Bioprocess Engineering
Biotechnology and Bioengineering, Volume 123, Issue 4, Page 805-830, April 2026.ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
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Sensors, 2007 This study aims at quantifying spatio-temporal dynamics of monthly mean dailyincident photosynthetically active radiation (PAR) over a vast and complex terrain such asTurkey.
Fatih Evrendilek
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Geoscience Data Journal, Volume 13, Issue 2, April 2026.We present a transient electromagnetic dataset from northwestern Denmark acquired with the novel sTEMprofiler system, mapping buried Quaternary valleys. The open dataset, including raw data and resistivity models, enables benchmarking of inversion methods and integration into geological and hydrological studies. ABSTRACT Transient electromagnetic (TEM)
Line M. Madsen +3 more
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Geospatial Health, 2013 A core challenge in epidemiological analysis of the impact of exposure to air pollution on health is assessment of the individual exposure for subjects at risk.
Ana M. Vicedo-Cabrera +4 more
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Focal‐Feature Regression Kriging
Geographical Analysis, Volume 58, Issue 2, April 2026.ABSTRACT Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models‐such as Ordinary Kriging (OK)‐assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Peng Luo, Yilong Wu, Yongze Song
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Rapid Design and Fabrication of Body Conformable Surfaces with Kirigami Cutting and Machine Learning
Advanced Science, Volume 13, Issue 16, 18 March 2026.By integrating the principles of kirigami cutting and data‐driven modeling, this study aims to develop a personalized, rapid, and low‐cost design and fabrication pipeline for creating body‐conformable surfaces around the knee joint. This pipeline presents a balanced trade‐off between conformability performance and cost for personalizing wearables, thus
Jyotshna Bali +3 more
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