Surfaces de réponse par krigeage pour l'optimisation de formes aérodynamiques [PDF]
Les simulations numériques RANS, utilisées en aérodynamique pour évaluer la performance d'une forme, sont coûteuses en temps de calcul. Comme une optimisation nécessite l'étude de plusieurs dizaines de formes différentes, ce coût limite le champ des ...
Laurenceau, Julien
core
Geostatistical models for environmental datasets [PDF]
Nelle scienze ambientali il modo in cui ogni singolo dato viene elaborato e interpretato riveste un ruolo importantissimo per la comprensione della complessità dei fenomeni naturali.
Sammartino, Simone
core
A novel kriging-assisted algorithm is proposed for computationally expensive single-objective optimization. The principle behind the algorithm is to use information about objective function space at the earliest possible opportunity. After constructing a
Hawe, G. I., Sykulski, J. K.
core
Interpretable ROI Identification in Brain Image Analysis: Overcoming CNN Black Box Challenges With Kriging-Enhanced Adaptive Sampling. [PDF]
Lee H, Yu J, Park S, Sternberg Z.
europepmc +1 more source
Noise-Aware Machine Learning Accelerates Development of High-Latent-Heat Cu-Al-Ni Shape Memory Alloys for Thermal Management. [PDF]
Zhou D +9 more
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Evaluating Graph-Centrality Context for Station-Level Correction of CAMS Air Quality Reanalysis in Lombardy from 2018 to 2021. [PDF]
Munteanu A, Bonchiș C, Saldaña GL.
europepmc +1 more source
A Consolidated Framework for the Detection of Alzheimer's Disease Using EEG Signals and Hybrid Models. [PDF]
Prabhakar SK, Won DO.
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Beyond the Cascade Dams: Scale-Dependent Effects on Zooplankton Stability in River Ecosystems. [PDF]
Jiang X +11 more
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Geostatistics for functional data: an ordinary kriging approach
We present a methodology to perform spatial prediction when measured data are curves. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor.
Giraldo, Ramón +2 more
core
Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data. [PDF]
Vega SL, Nethery RC.
europepmc +1 more source

