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Andrew Tenney
Andrew Tenney
Verified email at syr.edu
Title
Cited by
Cited by
Year
Application of artificial neural networks to stochastic estimation and jet noise modeling
AS Tenney, MN Glauser, CJ Ruscher, ZP Berger
AIAA journal, 2020
262020
A deep learning approach to jet noise prediction
AS Tenney, MN Glauser, J Lewalle
2018 AIAA Aerospace Sciences Meeting, 1736, 2018
182018
Modern Methods in Machine Learning as Applied to the Study of a Complex Supersonic Jet Flow
AS Tenney
Syracuse University, 2019
82019
Identifying coherent structures in a 3-stream supersonic jet flow using time-resolved schlieren imaging
AS Tenney, TJ Coleman, J Lewalle, MN Glauser, BV Kiel, SP Gogineni
54th AIAA Aerospace Sciences Meeting, 1108, 2016
52016
Stochastic estimation using modern methods in machine learning
AS Tenney, MN Glauser, ZP Berger
AIAA Scitech 2019 Forum, 0324, 2019
22019
Jet noise prediction via low-order machine learning
CJ Ruscher, S Gogineni, AS Tenney, MN Glauser
AIAA Scitech 2019 Forum, 0547, 2019
22019
Velocity estimation in the mixing layer of a subsonic jet using artificial neural networks
AS Tenney, MN Glauser, ZP Berger
11th International Symposium on Turbulence and Shear Flow Phenomena, TSFP 2019, 2019
22019
Correlations in the Near-Field of a Complex Supersonic Jet Using Time-Resolved Schlieren Imaging
A Tenney, TJ Coleman, J Lewalle, M Glauser, S Gogineni
1*2016
Multi-Measurement Correlations in the Near-Field of a Complex Supersonic Jet Using Time-Resolved Schlieren Imaging
A Tenney, T Coleman, J Lewalle, M Glauser, S Gogineni
APS Meeting Abstracts, 2016
12016
Velocity Estimation in the Shear Layer of a Mj=0.6 Jet Using Deep Neural Networks
A Tenney, M Glauser, Z Berger
Bulletin of the American Physical Society 63, 2018
2018
Application of Frequency Dependent Proper Orthogonal Decomposition to Time-Resolved Schlieren Data Extracted From a Supersonic Multi-Stream Rectangular Jet
R Masetta, A Tenney, Z Berger, M Glauser
Bulletin of the American Physical Society 63, 2018
2018
Low Dimensional Study of a Supersonic Multi-Stream Jet Flow
A Tenney, M Berry, H Aycock-Rizzo, M Glauser, J Lewalle
APS Division of Fluid Dynamics Meeting Abstracts, A31. 006, 2017
2017
Understanding Core Collapse Through Dynamic Mode Decomposition
H Aycock-Rizzo, M Ali, A Tenney, M Berry, Z Berger, M Glauser
APS Division of Fluid Dynamics Meeting Abstracts, KP1. 113, 2017
2017
Comparison of LES and PIV Velocity Fields in a Complex Multi-Stream Supersonic Nozzle
S Banahene, H Winick, M Berry, A Tenney, M Glauser, C Stack, ...
APS Division of Fluid Dynamics Meeting Abstracts, KP1. 093, 2017
2017
Mapping the Interactions between Shocks and Mixing Layers in a 3-Stream Supersonic Jet
J Lewalle, C Ruscher, P Kan, A Tenney, S Gogineni, B Kiel
APS Division of Fluid Dynamics Meeting Abstracts, 2015
2015
Propagations of fluctuations and flow separation on an unsteadily loaded airfoil
A Tenney, J Lewalle
Bulletin of the American Physical Society 59, 2014
2014
Comparison of Methods for Identifying Noise Sources in Far-Field Acoustic Signals
A Tenney, J Lewalle
APS Division of Fluid Dynamics Meeting Abstracts, 2013
2013
Comparison of Cross Correlation and Denoising Methods for Identification of Noise Producing Events from Far-Field Acoustic Signals
AS Tenney, J Lewalle
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Articles 1–18