This code was developed in Python 3.6.9. and requires Tensorflow 2.4.1 and Keras 2.2.4 B. K. Iwana and S. Uchida, "An Empirical Survey of Data Augmentation for Time Series Classification with Neural ...
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In marine ecology research, it is crucial to accurately identify the marine mammal species active in the target area during the current season, which helps researchers understand the behavioral ...
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Worm Wasserstein Generative Adversarial Network(WWGAN) is a Generative Adversarial Network (GAN) for time-series data augmentation. WWGAN builds upon two WGAN-GP by constructing the WGAN-GP into a ...
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