We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …

Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …

With the breakthroughs in deep learning, the recent years have witnessed a booming of
artificial intelligence (AI) applications and services, spanning from personal assistant to …

Image sensors with internal computing capability enable in-sensor computing that can
significantly reduce the communication latency and power consumption for machine vision …

Driven by the visions of Internet of Things and 5G communications, the edge computing
systems integrate computing, storage, and network resources at the edge of the network to …

To cope with the high resource (network and compute) demands of real-time video analytics
pipelines, recent systems have relied on frame filtering. However, filtering has typically been …

Abstract Design of hardware accelerators for neural network (NN) applications involves
walking a tight rope amidst the constraints of low-power, high accuracy and throughput …

Advances in nanosatellite technology and a declining cost of access to space have fostered
an emergence of large constellations of sensor-equipped satellites in low-Earth orbit. Many …

Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet
connectivity to meet the requirements of different applications, ranging from virtual reality to …

Global Health sometimes faces pandemics as are currently facing COVID-19 disease. The
spreading and infection factors of this disease are very high. A huge number of people from …