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 …

Convolutional Neural Networks (CNN) continue to dominate research in the area of
hardware acceleration using Field Programmable Gate Arrays (FPGA), proving its …

Convolutional Neural Networks (CNNs) are widely used in vision based applications to
increase the performance but at the cost of higher storage and increase in computation …

Achieving real-time performance at the edge of the network has been a challenge that is
being constantly looked upon by the research community. Especially with growing …

Convolutional Neural Networks (CNNs) have demonstrated impressive performance in
recent times and have shown a wide range of applicability. The deployment of CNNs on …

Video Analytics is an image processing method that takes video as input and extracts
information. It is the latest technology that analyzes and processes a digital video signal for …

This paper reports on the evaluation of recurrent and convolutional neural networks as real-
time grasp phase classifiers for future control of neuroprostheses for people with high spinal …

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 …

This paper aims to design a simple hardware architecture of Multilayer Feedforward Neural
Network (MFNN) and verify its performance in the detection of vacant/busy state of channels …