Concepedia
Statistics
Publications
3
Citations
49
H-Index
Active since
2016
Affiliations
Syracuse University(Current)
Spectral Energies (United States)
Andrew S. Tenney is an author at Syracuse University specializing in deep learning, noise prediction, and machine learning.
Top concepts
NoiseEngineeringData ScienceDeep LearningMachine LearningNoise Prediction
Publications per year
2016–2020
Application of Artificial Neural Networks to Stochastic Estimation and Jet Noise Modeling
Andrew S. Tenney, Mark Glauser, Christopher J. Ruscher et al. · AIAA Journal · 2020 · 22 citations
A Deep Learning Approach to Jet Noise Prediction
Andrew S. Tenney, Mark Glauser, Jacques Lewalle · 2018 AIAA Aerospace Sciences Meeting · 2018 · 17 citations
Engineering, Machine Learning, Data Science +5
Identifying Coherent Structures in a 3-Stream Supersonic Jet Flow Using Time-Resolved Schlieren Imaging
Andrew S. Tenney, Thomas J. Coleman, Jacques Lewalle et al. · 54th AIAA Aerospace Sciences Meeting · 2016 · 10 citations
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