A large share of traffic accidents is related to driver fatigue. In recent years, many studies
have been organized in order to diagnose and warn drivers. In this research, a new …

GAN (Generative adversarial network) is a type of deep learning model that can generate
fake data that looks real. GAN consists of two rival neural networks generator and …

Although this book is not an ethnography, it has an ethnographic situation. If it has a field
site, then it lies close to the places where the writing was done–in universities, on campuses …

Background Amidst considerable enthusiasm surrounding the integration of artificial
intelligence (AI) across various sectors, meaningful roles for AI in multifaceted healthcare …

Con el creciente desarrollo de la Generative Adversarial Network (GAN), la generación de
imágenes son un desafío emocionante en el campo del aprendizaje profundo y la …

Generative Adversarial Networks (GAN) are an exciting and rapidly changing field that
promises to generate realistic samples across a range of domains. They generate new and …