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Fast Prediction of Two-Dimensional Flowfields with Fuel Injection into Supersonic Crossflow via Deep Learning
Kento Akiyama,
Hideaki Ogawa
Space Systems Engineering
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peer-review
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Dive into the research topics of 'Fast Prediction of Two-Dimensional Flowfields with Fuel Injection into Supersonic Crossflow via Deep Learning'. Together they form a unique fingerprint.
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Computer Science
Deep Learning
100%
Design
50%
Accuracy
50%
Performance Evaluation
50%
Machine Learning
50%
Transportation System
50%
Sensitivity Analysis
50%
Computational Simulation
50%
Design Optimization
50%
Driven Approach
50%
Multilayer Perceptron
50%
Scalar Quantity
50%
Data Mining
50%
Models
50%
Performance Parameter
50%
Engineering
Prediction
100%
Two Dimensional
100%
Fuel Injection
100%
Deep Learning
100%
Models
25%
Evaluation
25%
Design
25%
Performance
25%
Mining
25%
Optimization
25%
Accuracy
25%
Flow Property
25%
Flow Phenomenon
25%
Engines
25%
Design Optimization
25%
Sensitivity Analysis
25%
Performance Parameter
25%
Computational Simulation
25%
Scalar Quantity
25%
Perceptron
25%