Results 61 to 70 of about 14,309 (209)

Wing planform dependency on optimum supersonic airfoil

Nihon Kikai Gakkai ronbunshu, 2017
When a wing of airplane is designed, it is necessary to have knowledge regarding planforms considered their optimum airfoils in order to design efficiently, because each wing planform has both of advantage and disadvantage. In this study, the wing design
Yuki KISHI, Masahiro KANAZAKI, Yoshikazu MAKINO, Kisa MATSUSHIMA   +3 more
doaj   +1 more source

Variable Fidelity Optimization Using a Kriging Based Scaling Function [PDF]

10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2004
Solving design problems that rely on very complex and computationally expensive calculations using standard optimization methods may not be feasible given design cycle time constraints. Variable fldelity methods address this issue by using lower fldelity models and a scaling function to approximate the higher fldelity models in a provably convergent ...
Shawn Gano, Brian Sanders, John Renaud
openaire   +1 more source

Handling Out‐of‐Sample Areas to Estimate the Unemployment Rate at Local Labour Market Areas in Italy

International Statistical Review, EarlyView.
Summary Unemployment rate estimates for small areas are used to efficiently support the distribution of services and the allocation of resources, grants and funding. A Fay–Herriot type model is the most used tool to obtain these estimates. Under this approach out‐of‐sample areas require some synthetic estimates. As the geographical context is extremely
Roberto Benedetti, Federica Piersimoni, Monica Pratesi, Nicola Salvati, Thomas Suesse   +4 more
wiley   +1 more source

Metamodel-based importance sampling for the simulation of rare events

, 2011
In the field of structural reliability, the Monte-Carlo estimator is considered as the reference probability estimator. However, it is still untractable for real engineering cases since it requires a high number of runs of the model.
Deheeger, F., Dubourg, V., Sudret, B.
core   +2 more sources

Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation

IEEE Access
The refined identification of Urban Functional Zones (UFZs) is crucial for effective urban planning, resource allocation, and environmental monitoring. However, achieving high precision and comprehensive identification of UFZs has been challenging.
Xuan Du, Yisha Pan, Xiaoyan Yang, Longgao Chen, Liangchen Liu, Ying Lin   +5 more
doaj   +1 more source

Kriging with external drift for functional data for air quality monitoring [PDF]

Stochastic Environmental Research and Risk Assessment, 2013
Functional data featured by a spatial dependence structure occur in many environmental sciences when curves are observed, for example, along time or along depth. Recently, some methods allowing for the prediction of a curve at an unmonitored site have been developed.
IGNACCOLO, Rosaria, J. Mateu, R. Giraldo
openaire   +3 more sources

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale [PDF]

, 2014
Soil organic carbon (SOC) plays a major role in the global carbon budget. It can act as a source or a sink of atmospheric carbon, thereby possibly influencing the course of climate change.
Arrouays, D., Boulonne, L., Jolivet, C., Lacarce, E., Martin, M. P., Meersmans, J., Orton, T. G., Paroissien, J. B., Saby, N. P. A.   +8 more
core   +3 more sources

STOCHASTIC FINITE ELEMENT MODEL UPDATING BASED ON POLYNOMIAL CHAOTIC EXPANSION AND KL DIVERGENCE

Jixie qiangdu, 2021
Considering the influence of structural parameter uncertainty on response and the problem of large calculation of stochastic model updating, a stochastic finite element model updating method based on polynomial chaotic expansion and KL divergence is ...
XU ZeWei, PENG ZhenRui, ZHANG YaFeng, BAI Yu   +3 more
doaj  

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, Volume 123, Issue 4, Page 805-830, April 2026.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source