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Showing 1 to 2 of 2 for “"CTGAN"”.
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Synthesizing tabular data using conditional GAN
… (2) To address these problems, I designed CTGAN, which uses a conditional generative adversarial network to address the challenges in modeling tabular data. Because CTGAN uses reversible data transformations and is trained by re-sampling the data, it can address common challenges in …
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A GAN-Augmented Machine Learning Framework for Predicting Raman Characteristics in Carbon Nanofiber Synthesis
… prior work employing Conditional Tabular GAN (CTGAN) for data augmentation and XGBoost for quality prediction, this thesis expands the methodology by incorporating: (i) an end-to-end reactor data acquisition system (LabVIEW to cloud-based pipeline), and (ii) a new chemical process modeling …