The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …

Driven by an unprecedented boom in artificial intelligence (AI) and Internet of Things (IoT),
edge intelligence (EI) pushes the frontier of AI from cloud to network edge, serving as a …

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 …

Edge-cloud collaborative video analytics is transforming the way data is being handled,
processed, and transmitted from the ever-growing number of surveillance cameras around …

With the advent of the Internet of Everything, the proliferation of data has put a huge burden
on data centers and network bandwidth. To ease the pressure on data centers, edge …

Deep neural networks (DNNs) have become ubiquitous techniques in mobile and
embedded systems for applications such as image/object recognition and classification. The …

Page 1 Advances in COMPUTERS Volume 127 Edge/Fog Computing Paradigm: The
Concept, Platforms and Applications Edited by PETHURU RAJ CHELLLAH, KAVITA SAINI …

Adaptive optimization methods for deep learning adjust the inference task to the current
circumstances at runtime to improve the resource footprint while maintaining the model's …

With the explosive growth of mobile computing and Internet of Things (IoT) applications, as
exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT …

Low-cost cameras enable powerful analytics. An unexploited opportunity is that most
captured videos remain “cold” without being queried. For efficiency, we advocate for these …