Abstract: In an era of 5G smart cities, precise traffic prediction remains elusive due to limited real-world data. Our paper introduces a novel approach using Generative Adversarial Networks (GANs) to ...

Abstract: Deep learning has been widely applied to seismic data interpolation. However, most existing methods are based on supervised learning, suffering from limitations such as low generalization ...