Results 61 to 70 of about 41,613 (278)

On the Performance of Neural Network Residual Kriging in Radio Environment Mapping

open access: yesIEEE Access, 2019
This paper addresses the research question: can feedforward neural network (FFNN)-based path loss modeling improve the accuracy of Kriging? Radio propagation factors, which consist of path loss and shadowing, can accurately be obtained via crowdsourcing ...
Koya Sato, Kei Inage, Takeo Fujii
doaj   +1 more source

A Scalarizing One-Stage Algorithm for Efficient Multi-Objective Optimization [PDF]

open access: yes, 2007
A novel kriging-assisted algorithm is proposed for computationally expensive multi-objective optimization problems, such as those which arise in electromagnetic design. The algorithm combines the multiple objectives into a single objective, which it then
Hawe, G. I.   +3 more
core   +1 more source

From Rare to Recurrent: Intensifying Hot–Dry Extremes Across Romania

open access: yesInternational Journal of Climatology, EarlyView.
Romania has undergone a marked shift toward more frequent and spatially extensive compound hot–dry months since the 1990s, with persistent hotspots in the eastern Moldavian Plateau and the lower Danube–Bărăgan–Black Sea lowlands and comparatively buffered conditions at higher elevations.
Viorica Nagavciuc, Monica Ionita
wiley   +1 more source

Spatiotemporal Evolution of Regional Heavy Rainfall Events in Guangdong, South China: Intensification and Expansion Since the Early 1990s

open access: yesInternational Journal of Climatology, EarlyView.
Regional heavy rainfall events (RHREs) in Guangdong, South China, during 1961–2025 are reassessed using an improved strength index that integrates rainfall intensity, spatial extent and duration. Results reveal a post‐1991 shift towards more frequent and spatially extensive strong and extreme events, with June showing the most pronounced ...
Wei Liu   +6 more
wiley   +1 more source

Kriging Models That Are Robust With Respect to Simulation Errors [PDF]

open access: yes
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  

Association Between Long‐Term Exposure to Air Pollution and Parkinson's Disease: Administrative Cohort of Older Adults in South Korea

open access: yesMovement Disorders, EarlyView.
Abstract Background Evidence regarding the association between long‐term exposure to ambient air pollution and Parkinson's disease (PD) remains inconsistent, particularly among older adults in Asian populations. Objective We aimed to examine the association between long‐term exposure to ambient air pollutants and incident PD in a nationwide ...
Jongmin Oh   +8 more
wiley   +1 more source

Facies-Constrained Kriging Interpolation Method for Parameter Modeling

open access: yesRemote Sensing
In seismic exploration, establishing a reliable parameter model (such as velocity, density, impedance) is crucial for seismic migration imaging and reservoir characterization.
Zhenbo Nie   +5 more
doaj   +1 more source

Kriging for Interpolation in Random Simulation [PDF]

open access: yes
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
core  

The Use of Kriging Within the SCF Procedure [PDF]

open access: yes, 2020
Project report on using Kriging for SCF orbital ...
Christian L. Ritterhoff (8543955)   +1 more
core   +1 more source

Uncertainty, Sensitivity, and Efficiency Analysis of a Hybrid Piezoelectric–Electromagnetic Energy Harvester

open access: yesInternational 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

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