UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 111

Sortiert nach

Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

Montomoli, Francesco

2nd ed. 2019., 2018

Volltextzugriff (PDF)

Local bi-fidelity field approximation with Knowledge Based Neural Networks for Computational Fluid Dynamics

Scientific reports, 2021-07, Vol.11 (1), p.14459-14459, Article 14459

2021

Volltextzugriff (PDF)

Machine Learning Methods in CFD for Turbomachinery: A Review

International journal of turbomachinery, propulsion and power, 2022-06, Vol.7 (2), p.16

2022

Volltextzugriff (PDF)

Using remote sensing data within an optimal spatiotemporal model for invasive plant management: the case of Ailanthus altissima in the Alta Murgia National Park

Scientific reports, 2023-09, Vol.13 (1), p.14587-14587, Article 14587

2023

Volltextzugriff (PDF)

Aleatory uncertainty quantification based on multi-fidelity deep neural networks

Reliability engineering & system safety, 2024-05, Vol.245, p.109975, Article 109975

2024

Volltextzugriff (PDF)

Deep Neural Network and Monte Carlo Tree Search applied to Fluid-Structure Topology Optimization

Scientific reports, 2019-11, Vol.9 (1), p.15916-16, Article 15916

2019

Volltextzugriff (PDF)

A Machine Learning Approach to Improve Turbulence Modelling from DNS Data Using Neural Networks

International journal of turbomachinery, propulsion and power, 2021-06, Vol.6 (2), p.17

2021

Volltextzugriff (PDF)

Adaptive learning for reliability analysis using Support Vector Machines

Reliability engineering & system safety, 2022-10, Vol.226, p.108635, Article 108635

2022

Volltextzugriff (PDF)

Towards Space Deployment of the NDSA Concept for Tropospheric Water Vapour Measurements

Atmosphere, 2023-03, Vol.14 (3), p.550

2023

Volltextzugriff (PDF)

SeAr PC: Sensitivity enhanced arbitrary Polynomial Chaos

Computer methods in applied mechanics and engineering, 2024-11, Vol.431, p.117269, Article 117269

2024

Volltextzugriff (PDF)

Reynolds Sensitivity of the Wake Passing Effect on a LPT Cascade Using Spectral/hp Element Methods

International journal of turbomachinery, propulsion and power, 2022-03, Vol.7 (1), p.8

2022

Volltextzugriff (PDF)

A distributionally robust data-driven framework to reliability analysis

Structural safety, 2024-11, Vol.111, p.102501, Article 102501

2024

Volltextzugriff (PDF)

Multiscale Uncertainty Quantification with Arbitrary Polynomial Chaos

Computer methods in applied mechanics and engineering, 2019-12, Vol.357, p.112571, Article 112571

2019

Volltextzugriff (PDF)

Data fusion for Uncertainty Quantification with Non-Intrusive Polynomial Chaos

Computer methods in applied mechanics and engineering, 2021-02, Vol.374, p.113577, Article 113577

2021

Volltextzugriff (PDF)

Topology optimisation of turbulent flow using data-driven modelling

Structural and multidisciplinary optimization, 2022-02, Vol.65 (2), Article 49

2022

Volltextzugriff (PDF)

Robust data-driven turbulence closures for improved heat transfer prediction in complex geometries

The International journal of heat and fluid flow, 2022-12, Vol.98, p.109072, Article 109072

2022

Volltextzugriff (PDF)

Meta-modeling on detailed geography for accurate prediction of invasive alien species dispersal

Scientific reports, 2019-11, Vol.9 (1), p.16237-10, Article 16237

2019

Volltextzugriff (PDF)

Generalization of particle impact behavior in gas turbine via non-dimensional grouping

Progress in energy and combustion science, 2019-09, Vol.74, p.103-151

2019

Volltextzugriff (PDF)

Assessing Interactions Between Crop Biophysical Parameters and X-Band Backscattering Using Empirical Data and Model Sensitivity Analysis

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-12

2022

Volltextzugriff (PDF)

Identification of missing input distributions with an inverse multi-modal Polynomial Chaos approach based on scarce data

Probabilistic engineering mechanics, 2021-07, Vol.65, p.103138, Article 103138

2021

Volltextzugriff (PDF)

On the retrieval of internal temperature of Antarctica Ice Sheet by using SMOS observations

Remote sensing of environment, 2019-11, Vol.233, p.111405, Article 111405

2019

Volltextzugriff (PDF)

Bi-fidelity UQ with combination of co-Kriging and arbitrary polynomial chaos: Film cooling with back facing step using RANS and DES

International journal of heat and mass transfer, 2019-03, Vol.131, p.261-272

2019

Volltextzugriff (PDF)

Error Quantification for the Assessment of Data-Driven Turbulence Models

Flow, turbulence and combustion, 2022-06, Vol.109 (1), p.1-26

2022

Volltextzugriff (PDF)

Exploiting the ANN Potential in Estimating Snow Depth and Snow Water Equivalent From the Airborne SnowSAR Data at X- and Ku-Bands

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-16

2022

Volltextzugriff (PDF)

A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling

Applied Mathematical Modelling, 2021-01, Vol.89, p.885-906

2021

Volltextzugriff (PDF)

1 – 25 von 111

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(85)
Mit Volltextzugriff
(107)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(95)
Technology
(47)
Life Sciences & Biomedicine
(39)
Engineering
(37)
Physical Sciences
(33)
Humans
(28)
Remote Sensing
(25)
Engineering, Electrical & Electronic
(15)
Female
(14)
Snow
(14)
Computer Simulation
(13)
Engineering, Mechanical
(13)
Geology
(13)
Geosciences, Multidisciplinary
(13)
Male
(13)
Uncertainty Quantification
(13)
Mathematical Models
(12)
Algorithms
(11)
Backscatter
(11)
Mechanics
(11)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(2)
... seit 90 Tagen
(4)

Menü

Weitere Dienste

Einstellungen

Uncertainty Quantification in Computational Fluid Dynamics and Aircraft Engines

Local bi-fidelity field approximation with Knowledge Based Neural Networks for Computational Fluid Dynamics

Machine Learning Methods in CFD for Turbomachinery: A Review

Using remote sensing data within an optimal spatiotemporal model for invasive plant management: the case of Ailanthus altissima in the Alta Murgia National Park

Aleatory uncertainty quantification based on multi-fidelity deep neural networks

Deep Neural Network and Monte Carlo Tree Search applied to Fluid-Structure Topology Optimization

A Machine Learning Approach to Improve Turbulence Modelling from DNS Data Using Neural Networks

Adaptive learning for reliability analysis using Support Vector Machines

Towards Space Deployment of the NDSA Concept for Tropospheric Water Vapour Measurements

SeAr PC: Sensitivity enhanced arbitrary Polynomial Chaos

Reynolds Sensitivity of the Wake Passing Effect on a LPT Cascade Using Spectral/hp Element Methods

A distributionally robust data-driven framework to reliability analysis

Multiscale Uncertainty Quantification with Arbitrary Polynomial Chaos

Data fusion for Uncertainty Quantification with Non-Intrusive Polynomial Chaos

Topology optimisation of turbulent flow using data-driven modelling

Robust data-driven turbulence closures for improved heat transfer prediction in complex geometries

Meta-modeling on detailed geography for accurate prediction of invasive alien species dispersal

Generalization of particle impact behavior in gas turbine via non-dimensional grouping

Assessing Interactions Between Crop Biophysical Parameters and X-Band Backscattering Using Empirical Data and Model Sensitivity Analysis

Identification of missing input distributions with an inverse multi-modal Polynomial Chaos approach based on scarce data

On the retrieval of internal temperature of Antarctica Ice Sheet by using SMOS observations

Bi-fidelity UQ with combination of co-Kriging and arbitrary polynomial chaos: Film cooling with back facing step using RANS and DES

Error Quantification for the Assessment of Data-Driven Turbulence Models

Exploiting the ANN Potential in Estimating Snow Depth and Snow Water Equivalent From the Airborne SnowSAR Data at X- and Ku-Bands

A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling

Suchergebnisse filtern