Abstract Traffic Signs Recognition (TSR) is a key technology to implement Automatic Driving
System (ADS) and Advanced Driver Assistant System (ADAS). Numerous efforts have been …

In recent years, convolutional neural network (CNN)-based algorithms have been widely
used in remote sensing image processing and show tremendous performance in a variety of …

This paper proposes an acceleration technique to minimise the unnecessary operations on
a state-of-the-art machine learning model and thus to improve the processing speed while …

This paper presents a novel methodology to design a secured custom reusable intellectual
property (IP) core for the convolutional layer of convolutional neural network (CNN). Since …

Convolutional Neural Networks (CNN) are widely used for image classification and have
achieved significantly accurate performance in the last decade. However, they require …

With the development of research on novel memristor model and device, neural networks by
integrating various memristor models have become a hot research topic recently. However …

The sustainable cultivation of organic vegetables and the associated problem of weed
control has been a current research topic for some time. Despite this, the use of chemical …

In recent times, the trend in very large scale integration (VLSI) industry is multi-dimensional,
for example, reduction of energy consumption, occupancy of less space, precise result, less …

Masking has become one of the most effective approaches for securing hardware designs
against side-channel attacks. Regardless of the effort put into correctly implementing …

In recent years, Convolutional Neural Networks (CNNs) have become the standard class of
deep neural network for image processing, classification and segmentation tasks. However …