Generative Adversarial Networks (GANs) have promoted a variety of applications in
computer vision and natural language processing, among others, due to its generative …

Generative Adversarial Networks (GANs) have seen significant interest since their
introduction in 2014. While originally focused primarily on image-based tasks, their capacity …

As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …

Forecasting for wind and solar renewable energy is becoming more important as the amount
of energy generated from these sources increases. Forecast skill is improving, but so too is …

Motion sensors such as accelerometers and gyroscopes measure the instant acceleration
and rotation of a device, in three dimensions. Raw data streams from motion sensors …

Artificial Intelligence (AI) has been applied to solve various challenges of real-world
problems in recent years. However, the emergence of new AI technologies has brought …

There is growing concern about how personal data are used when users grant applications
direct access to the sensors of their mobile devices. In fact, high resolution temporal data …

Due to the progress of communication technologies, diverse information is transmitted in
distributed systems via a network model. Concurrently, with the evolution of communication …

Recent research has established the possibility of deducing soft-biometric attributes such as
age, gender, and race from an individual's face image with high accuracy. However, this …

The total variation distance is proposed as a privacy measure in an information disclosure
scenario when the goal is to reveal some information about available data in return of utility …