Augmentation of Turbulence Models Using Field Inversion and Machine Learning

doi 10.2514/6.2017-0993
Full Text
Abstract

Available in full text

Date
Authors
Publisher

American Institute of Aeronautics and Astronautics

Related search

Performance Analysis of Binary and Multiclass Models Using Azure Machine Learning

International Journal of Electrical and Computer Engineering
Electronic EngineeringElectricalComputer Science
2020English

Developing and Improving Risk Models Using Machine-Learning Based Algorithms

2019English

Predicting Market Impact Costs Using Nonparametric Machine Learning Models

PLoS ONE
Multidisciplinary
2016English

Predictive Models for Diabetes Mellitus Using Machine Learning Techniques

BMC Endocrine Disorders
MedicineEndocrinologyMetabolismDiabetes
2019English

Predicting the Phosphorylation Sites Using Hidden Markov Models and Machine Learning Methods

Journal of Chemical Information and Modeling
Computer Science ApplicationsChemistryChemical EngineeringLibraryInformation Sciences
2005English

Monitoring Within-Field Variability of Corn Yield Using Sentinel-2 and Machine Learning Techniques

Remote Sensing
EarthPlanetary Sciences
2019English

Multi-Omics-Based Pan-Cancer Prognosis Prediction Using an Ensemble of Deep-Learning and Machine-Learning Models

2019English

New Topography Inversion Using EM Field

PIERS Online
2005English

Graphical Models for Machine Learning and Digital Communication

Computers and Mathematics with Applications
MathematicsComputational MathematicsSimulationModelingComputational Theory
1999English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy