Results 61 to 70 of about 10,081 (210)

Surrogate Models Based On The Combination Of Pca And Kriging

SIAM Sixteenth International Conference on Numerical Combustion, 2017
Presentation at the SIAM Sixteenth International Conference on Numerical ...
Aversano, Gianmarco, Gicquel, Olivier, Parente, Alessandro   +2 more
openaire   +2 more sources

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

Movement 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, Jisun Myung, Dong‐Wook Lee, Changwoo Han, Yun‐Chul Hong, Soontae Kim, Yoon‐Hee Kang, Hyun‐Joo Bae, Youn‐Hee Lim   +8 more
wiley   +1 more source

Further development of adaptive parameter tuning in the numerical weather prediction models of Deutscher Wetterdienst

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

Optimization of Thermal Management for the Environmental Worthiness Design of Aviation Equipment Using Phase Change Materials

Aerospace
A phase change materials (PCM)-based heat sink is an effective way to cool intermittent high-power electronic devices in aerospace applications such as airborne electronics and aircraft external carry. Optimizing the heat sink is significant in designing
Jianjun Zhang, Minwei Li, He Li, Yun Fu, Liangxu Cai   +4 more
doaj   +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, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

Using Airborne Laser Scanning and Sentinel‐2 to Understand Subcanopy Light Regimes and Understory Diversity of Vascular Plants in Temperate Mountain Forests

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, Cornelius Senf, Kristin H. Braziunas, Rupert Seidl, Peter Annighöfer   +4 more
wiley   +1 more source

A Bayesian Spatial Disaggregation Approach for Fine‐Scale Mapping of Water Access Disparities

Sustainable Development, EarlyView.
ABSTRACT Access to clean water remains a critical challenge for achieving Sustainable Development Goal 6: Clean Water and Sanitation. While national statistics agencies report water access at coarse municipal scales, this data obscure critical hotspots where vulnerable populations lack essential services.
Ivan Lizarazo, Lutz Breuer, Björn Weeser   +2 more
wiley   +1 more source

A joint kriging model with application to constrained classification

Statistics and Computing
Interpolating or predicting data is of utmost importance in machine learning, and Gaussian Process Regression is one of the numerous techniques that are often used in practice. In this paper, we consider the case of multi-input and multi-output data. A simple Joint Kriging model is proposed, where common combination weights are applied to all output ...
Rullière, Didier, Grossouvre, Marc
openaire   +1 more source

Bioaccessibility of Metal(loid)s From Anthropogenic Contamination in Dry Riverbed Sediments in the Cartagena–La Unión Mining District (Murcia, SE Spain): Implications for Human Health Risk Assessment

Environmental Toxicology, EarlyView.
ABSTRACT This study assessed the contamination levels, bioaccessibility, and potential health risks of As, Cd, Cu, Pb, and Zn in sediments from three dry riverbeds (El Beal‐EB, Las Matildes‐LM, and Ponce‐PN) impacted by historical mining activities in the Cartagena‐La Unión Mining District.
José Gregorio Cuevas, Ángel Faz, Silvia Martínez‐Martínez, Juan Carlos Beltrá, Jacinto Martínez, José A. Acosta   +5 more
wiley   +1 more source

基于改进Kriging模型的主动学习可靠性分析方法

Jixie qiangdu, 2021
Active learning Kriging（ ALK） model is able to only approximate the performance function in a narrow region around the limit state surface.Therefore,the efficiency of reliability analysis is remarkably improved.However,most of the existing strategies ...
陈哲, 杨旭锋, 程鑫
doaj