Intellectual capital is a scarce resource in the healthcare industry. Making the most of this
resource is the first step toward achieving a completely intelligent healthcare system …

Abstract Background Every year, around 1.5 million women worldwide receive a breast
cancer diagnosis, which is why the mortality rate for women is rising. Scientists have …

Artificial intelligence has many applications in various industries, including agriculture. It can
help overcome challenges by providing efficient solutions, especially in the early stages of …

Due to its fantastic performance in the quality of the images created, Generator Adversarial
Networks have recently become a viable option for image reconstruction. The main problem …

The recent advancement in deep learning with growth in big data and high-performance
computing is Distributed Deep Learning. The rapid rise in the volume of data and network …

Brain tumours are among the worst human malignancies. Accurate and dependable
segmentation of brain tumours using MRI images aids in treatment planning and extends …

INTRODUCTION: Using neural networks for these inherently distributed applications is
challenging and time-consuming. There is a crucial need for a framework that supports a …

Distributed deep learning is a branch of machine intelligence in which the runtime of deep
learning models may be dramatically lowered by using several accelerators. Most of the past …

in excessive-performance computing environments, wherein huge amounts of data want to
be processed quickly, the overall performance of statistics processing systems is crucial …