Results 51 to 60 of about 78,859 (235)
Multi-fidelity optimization via surrogate modelling
, 2007 This paper demonstrates the application of correlated Gaussian process based approximations to optimization where multiple levels of analysis are available, using an extension to the geostatistical method of co-kriging.
Forrester, Alexander I.J. +2 more
core +1 more source
Automatic surrogate model type selection during the optimization of expensive black-box problems [PDF]
, 2011 The use of Surrogate Based Optimization (SBO) has become commonplace for optimizing expensive black-box simulation codes. A popular SBO method is the Efficient Global Optimization (EGO) approach. However, the performance of SBO methods critically depends
Couckuyt, Ivo +3 more
core +1 more source
Sunshine Duration in Brazil From Meteosat (1983–2020): Climatology, Variability and Long‐Term Trends
International Journal of Climatology, EarlyView.Using nearly four decades of Meteosat satellite data (1983–2020), this study presents a country‐wide climatology of sunshine duration (SDU) in Brazil. The results reveal marked regional contrasts, dominant modes of variability, and significant long‐term trends, providing new information on the most relevant meteorological systems that influence SDU and
Maria Lívia Lins Mattos Gava +2 more
wiley +1 more source
International Journal of Climatology, EarlyView.Over the past 60 years, noticeable changes have been observed in the main hydroclimatological variables, driven by both natural and anthropogenic factors. In the context of climate change, such behaviour may adversely affect the state's economic activities, as well as increase the recurrence of extreme events in the region.
Ronaldo Guilherme Santos Lima +4 more
wiley +1 more source
On the Performance of Neural Network Residual Kriging in Radio Environment Mapping
IEEE 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
Optimized Weighted Ensemble Approach for Enhancing Gold Mineralization Prediction
Applied Sciences, 2023 The economic value of a mineral resource is highly dependent on the accuracy of grade estimations. Accurate predictions of mineral grades can help businesses decide whether to invest in a mining project and optimize mining operations to maximize the ...
M. M. Zaki +6 more
doaj +1 more source
Long‐Term Variability and Spatial Differentiation of the Frost‐Free Period in Iceland
International Journal of Climatology, EarlyView.Warming in Iceland (May–September) is expressed as fewer Tmin < 0°C days in the interior and more Tmin > 0°C days along the coasts. ABSTRACT Climate change in subarctic regions leads to significant transformations in thermal conditions; however, the long‐term variability of the frost‐free season (FFS)—and consequently, the growing period—remains poorly
Katarzyna Piotrowicz +3 more
wiley +1 more source
Materials Genome Engineering Advances, EarlyView.An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang +6 more
wiley +1 more source
Advances in Mechanical Engineering, 2015 The optimization of hydro-pneumatic suspension parameters of a multi-axle heavy motorized wheel dump truck is carried out based on virtual and real prototype experiment integrated Kriging model in this article.
Bian Gong, Xuexun Guo, Sanbao Hu, Lin Xu
doaj +1 more source
Variable-fidelity optimization of microwave filters using co-kriging and trust regions [PDF]
, 2012 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