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Optimization of kaolin deposit modeling using geostatistical methods of spatial interpolation
Мінеральні ресурси УкраїниThe article presents a comprehensive approach to optimizing kaolin deposit modeling using geostatistical methods of spatial interpolation. The study focuses on improving the assessment of the spatial distribution of mineral components using the example ...
I. A. Piskun +4 more
doaj +1 more source
Strategies for balancing exploration and exploitation in electromagnetic optimisation [PDF]
, 2012 The paper focuses on the advantages and drawbacks of different strategies which may be used to assist kriging surrogate modelling with the purpose of selecting multiple design vectors for evaluation when stepping forward in optimisation routines.
Rotaru, M. +3 more
core +1 more source
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Digitalization and emerging technologies are increasing the demand for wireless sensing and the Internet of Things (IoT), which provide opportunities for autonomous sources of electricity in the form of energy harvesting systems. This paper focuses on the challenges in hybrid piezoelectric‐electromagnetic kinetic energy harvesting systems that
Petr Sosna, Damian Gaska, Zdeněk Hadaš
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley +1 more source
Kriging Models That Are Robust With Respect to Simulation Errors [PDF]
In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to approximate time-consuming simulations. These simulations often contain simulation-model errors in the output variables.
Siem, A.Y.D., Hertog, D. den
core
, 1995 The performances of kriging, co-kriging, and kriging combined with regression were compared. These last two methods were applied to improve the interpolation of the soft-layer depth (Dsl), using the bulk soil electrical conductivity as an auxiliary ...
D.J. Brus +5 more
core +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Kriging for Interpolation in Random Simulation [PDF]
Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in use (for example, linear regression), but this paper focuses on Kriging.This technique was originally developed in geostatistics by D ...
Kleijnen, J.P.C., Beers, W.C.M. van
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Remote Sensing in Ecology and Conservation, EarlyView.This study demonstrates that not just Airborne Laser Scanning, but also Sentinel‐2 can effectively estimate absolute canopy cover and canopy cover heterogeneity ‐ structural metrics that determine the subcanopy light regime, found to be linked to the vascular plant species richness in the understory of temperate mountain forests.
Felix Wieland‐Glasmann +4 more
wiley +1 more source
The Correct Kriging Variance Estimated by Bootstrapping [PDF]
The classic Kriging variance formula is widely used in geostatistics and in the design and analysis of computer experiments.This paper proves that this formula is wrong.Furthermore, it shows that the formula underestimates the Kriging variance in ...
Siem, A.Y.D. +2 more
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