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 …

Background Pneumonia is a respiratory disease caused by bacteria; it affects many people,
particularly in impoverished countries where pollution, unclean living standards …

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 …

Image processing combined with computer vision is creating a vast breakthrough in many
research, industry-related, and social applications. The growth of big data has led to the …

Real-world deployment of Automatic Target Recognition (ATR) in Synthetic Aperture Radar
(SAR) often faces challenges due to the computational demands of Convolutional Neural …

In deep learning, an important class of algorithms is recurrent neural networks (RNN). RNN
experiences high latency and high computational cost, which makes it difficult. RNN is used …

Deep neural networks are gaining importance and popularity in applications and services.
Due to the enormous number of learnable parameters and datasets, the training of neural …

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 …

In academia and business, deep-learning-based models have exhibited extraordinary
performance over the last decade. The learning potential of Convolutional Neural Networks …

Optimal high-performance computing (HPC) use for deep learning is a difficult task that
requires progress in a variety of research domains. Complex systems and events are …