Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

Abstract Recent advances in Deep Learning have largely benefited from larger and more
diverse training sets. However, collecting large datasets for medical imaging is still a …

Generative artificial intelligence (AI) has emerged as a powerful technology with numerous
applications in various domains. There is a need to identify the requirements and evaluation …

Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …

Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Recent developments in the field of artificial intelligence (AI) have enabled new paradigms
of machine processing, shifting from data-driven, discriminative AI tasks toward …

Artificial Intelligence has become a focal point of interest across various sectors due to its
ability to generate creative and realistic outputs. A specific subset, generative artificial …

We look into Generative Adversarial Network (GAN), its prevalent variants and applications
in a number of sectors. GANs combine two neural networks that compete against one …

Artificial Intelligence-Generated Content (AIGC) refers to the use of AI to automate the
information creation process while fulfilling the personalized requirements of users …

Advances in communication technologies and artificial intelligence are accelerating the
paradigm of industrial Internet of Things (IIoT). With IIoT enabling continuous integration of …