Applications of fully convolutional networks (FCN) in iris segmentation have shown promising advances. For mobile and embedded systems, a significant...

Hardware implementations of Artificial Neural Networks (ANNs) using conventional binary arithmetic units are computationally expensive, energy-intensi...

With the rise of Internet of Things (IoT), devices such as smartphones, embeddedmedical devices, smart home appliances, as well as traditional computi...

There exist extensive ongoing research efforts on emerging atomic-scale technologies that have the potential to become an alternative to today's compl...

High static power consumption iswidely regarded as one of the largest bottlenecks in creating scalable optical NoCs. The standard techniques to reduce...