The hardware acceleration of Deep Neural Networks (DNN) is a highly effective and viable
solution for running them on mobile devices. The power of DNNs is now available at the …

In recent years, the continuous development of artificial intelligence has largely been driven
by algorithms and computing power. This paper mainly discusses the training and inference …

The deployment of Convolutional Neural Networks (CNNs) on resource-constrained edge
devices for inference is challenging due to its computation, memory, energy, and bandwidth …

The ubiquitous applications of the Internet of Things (IoT) devices and the increasing
computational capabilities of neural networks (NNs) have led to a new era of edge …

In chapter 15, Saravanan et al have provided details of FPGA implementation for a machine
learning based automatic facial emotion recognition system. Facial expressions tell a lot …

The article discusses trends and approaches to the development of industrial cyber-physical
systems, highlighted the requirements for such systems. The main methods of increasing the …