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Crash data augmentation using variational autoencoder
Zubayer Islam
, Mohamed Abdel-Aty
, Qing Cai
,
Jinghui Yuan
Research output
:
Contribution to journal
›
Article
›
peer-review
182
Scopus citations
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Dive into the research topics of 'Crash data augmentation using variational autoencoder'. Together they form a unique fingerprint.
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Mathematics
Logistic Regression
100%
Oversampling
100%
Support Vector Machine
100%
Real Data
100%
Levene Test
50%
Smirnov Test
50%
Artificial Neural Network
50%
Engineering
Autoencoder
100%
Real Data
33%
Support Vector Machine
33%
Learning Algorithm
16%
Decision Boundary
16%
Artificial Neural Network
16%
Immunology and Microbiology
Support Vector Machine
100%
Artificial Neural Network
50%
Computer Science
Variational Autoencoder
100%