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Repository Details
This repository contains the code and materials for the research paper titled "Data Augmentation for Pseudo-Time Series Using Generative Adversarial Networks." In this paper, we propose a novel approach for generating synthetic pseudo-time series data using a Generative Adversarial Network (GAN) architecture based on Long Short-Term Memory (LSTM).
