Publications

Abstract : Generative adversarial networks (GANs) have transformed machine learning and created new research and application areas. GANs are now used for data augmentation, picture, audio, text-to-image, and 3D object production thanks to IoT. These applications could make IoT devices more personalized, efficient, and productive by collecting and using data. GANs are also employed in healthcare and finance for IoT applications, enabling new research. GANs have many benefits, however stability issues during training, interpretability issues, ethical concerns, and more must be addressed. GANs could transform the IoT market, and hardware and infrastructure improvements are projected to increase their influence. GANs will open up many new research and development avenues for IoT devices.