The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

In recent years, Deep Learning methods and architectures have reached impressive results,
allowing quantum-leap improvements in performance in many difficult tasks, such as speech …

Recently, Deep Learning (DL), especially Convolutional Neural Network (CNN), develops
rapidly and is applied to many tasks, such as image classification, face recognition, image …

The growing prospect of deep reinforcement learning (DRL) being used in cyber-physical
systems has raised concerns around safety and robustness of autonomous agents. Recent …

How to navigate safely, recognize encountered obstacles, and move independently from
one location to another in unknown environments are some of the challenges that face …

The world's average annual fatality rate from human violence is 7.9 per 10,000 people. Most
of this human violence takes place in an isolated area or of sudden. The information delay …

Nowadays, tremendous growth is observed in research of surveillance system. The
surveillance cameras installed at various public places like offices, hospitals, schools …

Deep Neural Networks (DNN) achieve human level performance in many image analytics
tasks but DNNs are mostly deployed to GPU platforms that consume a considerable amount …

Aggressive activity in public spaces is a significant threat to personal safety and social
cohesion. Cameras and other security devices have been mounted in various locations for …