Results 51 to 60 of about 917,096 (229)
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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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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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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Archaeological Prospection, EarlyView.ABSTRACT Saruq al‐Hadid, located at the edge of the Rub Al‐Khali desert near Dubai's southern border with Abu Dhabi, is among the region's richest archaeological sites. Renowned for its historical role in metallurgy, trade and human habitation, the site was occupied from the Umm an‐Nar period through the post–Iron Age. Despite its significance, much of
Moamen Ali +9 more
wiley +1 more source
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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Means and covariance functions for geostatistical compositional data: an axiomatic approach [PDF]
, 2017 This work focuses on the characterization of the central tendency of a sample of compositional data. It provides new results about theoretical properties of means and covariance functions for compositional data, with an axiomatic perspective.
A Kolmogorov +29 more
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Weather and forecasting, 2019 The scope of this study is to assess a combination of well-known techniques for bias reduction and spatial interpolation in an attempt to improve wind speed prediction for storms on a gridded domain.
Alexander Samalot +3 more
semanticscholar +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
Biotechnology and Bioengineering, EarlyView.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
wiley +1 more source
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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A geostatistical model based on Brownian motion to Krige regions in R2 with irregular boundaries and holes [PDF]
, 2019 Master's Project (M.S.) University of Alaska Fairbanks, 2019Kriging is a geostatistical interpolation method that produces predictions and prediction intervals.
Bernard, Jordy
core