Results 51 to 60 of about 6,225 (246)
State-of-the-art in aerodynamic shape optimisation methods [PDF]
Aerodynamic optimisation has become an indispensable component for any aerodynamic design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind turbines, internal pipe flows, and cavities, among others, and is thus relevant ...
Skinner, S.N., Zare-Behtash, H.
core +1 more source
Late‐Onset Rheumatoid Arthritis and Air Pollution in the Multiethnic Cohort
Objective To evaluate the effects of ambient air pollution on rheumatoid arthritis (RA) incidence in a racially and ethnically diverse population. Methods This analysis included 42,152 California Multiethnic Cohort participants, aged ≥65 years (>70% African American and Latino adults) who were enrolled in the Fee For Service component of Medicare (2001–
Anna H. Wu +14 more
wiley +1 more source
Variable-fidelity optimization of microwave filters using co-kriging and trust regions [PDF]
In this paper, a variable-fidelity optimization methodology for simulation-driven design optimization of filters is presented. We exploit electromagnetic (EM) simulations of different accuracy.
Couckuyt, Ivo +2 more
core
A partial envelope approach for modelling multivariate spatial‐temporal data
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
Ground-level ozone pollution poses significant risks to public health and ecosystems and remains a major environmental challenge worldwide. Accurate forecasting is difficult due to the nonlinear formation mechanisms of ozone and its strong dependence on ...
Wenjie Wu, Xinyue Mo, Huan Li
doaj +1 more source
APPLICABILITY OF VARIOUS INTERPOLATION APPROACHES FOR HIGH RESOLUTION SPATIAL MAPPING OF CLIMATE DATA IN KOREA [PDF]
The purpose of this study is to create a new dataset of spatially interpolated monthly climate data for South Korea at high spatial resolution (approximately 30m) by performing various spatio-statistical interpolation and comparing with forecast LDAPS ...
A. Jo +4 more
doaj +1 more source
Bayesian analysis of hierarchical multi-fidelity codes [PDF]
This paper deals with the Gaussian process based approximation of a code which can be run at different levels of accuracy. This method, which is a particular case of co-kriging, allows us to improve a surrogate model of a complex computer code using fast
Gratiet, Loic Le
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The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza +3 more
wiley +1 more source
Assessing Annual and Seasonal Precipitation Trends in the Karun River Basin Using Co-Kriging: An Over 60-Year Analysis [PDF]
The Karun River Basin is an important source of water in Iran, located in a semi-arid region that is under increasing pressure due to changing precipitation patterns.
Amin Khoramian
doaj +1 more source
Cross-Covariance Functions for Multivariate Geostatistics
Continuously indexed datasets with multiple variables have become ubiquitous in the geophysical, ecological, environmental and climate sciences, and pose substantial analysis challenges to scientists and statisticians.
Genton, Marc G., Kleiber, William
core +1 more source

