Results 41 to 50 of about 1,242,716 (272)
Science and Technology for Energy TransitionSurrogate models have become a widely used solution for reducing computation times along design processes. In this work, a Gaussian Process surrogate model is built and used to predict the performance and losses of a wound field electrical machine in a ...
Mazloum Rebecca +5 more
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SCADA based nonparametric models for condition monitoring of a wind turbine
The Journal of Engineering, 2019 High operation and maintenance costs for offshore wind turbines push up the LCOE of offshore wind energy. Unscheduled maintenance due to unanticipated failures is the most prominent driver of the maintenance cost which reinforces the drive towards ...
Ravi Kumar Pandit +2 more
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Data-Driven Approaches for Tornado Damage Estimation with Unpiloted Aerial Systems
Remote Sensing, 2021 Tornado damage estimation is important for providing insights into tornado studies and assisting rapid disaster response. However, it is challenging to precisely estimate tornado damage because of the large volumes of perishable data. This study presents
Zhiang Chen +4 more
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Representation of self-similar Gaussian processes [PDF]
, 2014 We develop the canonical Volterra representation for a self-similar Gaussian process by using the Lamperti transformation of the corresponding stationary Gaussian process, where this latter one admits a canonical integral representation under the ...
Yazigi, Adil
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FEBS Letters, EarlyView.This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel +13 more
wiley +1 more source
Geomatics, Natural Hazards & Risk, 2020 Deformation of surrounding rock is widely monitored to discover surrounding rock behaviors for purpose of event forecasting. This article aims to present a comparative study on surrounding rock nonlinear deformation prediction using computational ...
Peng He, Fei Xu, Shang-qu Sun
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Comparison of Gaussian process modeling software [PDF]
, 2016 Gaussian process fitting, or kriging, is often used to create a model from a set of data. Many available software packages do this, but we show that very different results can be obtained from different packages even when using the same data and model ...
Ankenman, Bruce E. +2 more
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Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
SICE Journal of Control, Measurement, and System Integration, 2021 In this paper, we propose an observer-based visual pursuit control integrating three-dimensional target motion learning by Gaussian Process Regression (GPR).
Marco Omainska +5 more
doaj +1 more source
Additive Kernels for Gaussian Process Modeling [PDF]
, 2010 Gaussian Process (GP) models are often used as mathematical approximations of computationally expensive experiments. Provided that its kernel is suitably chosen and that enough data is available to obtain a reasonable fit of the simulator, a GP model can
Durrande, Nicolas +2 more
core +2 more sources