Conditional generative adversarial networks (CGANs) embedded with channel estimation can generate numerous realistic samples for data augmentation. Both the generator and the discriminator in CGANs ...
Introduced by Ian Goodfellow in 2014, GANs consist of two neural networks, the generator and the discriminator. These networks are trained through an adversarial process, enhancing their ability to ...
To address such issues, this study proposes three novel accretions. First, we propose a generative adversarial network (GAN) with a robust discriminator through multi-task learning that simultaneously ...