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 …

Recent advancements in face recognition (FR) technology in surveillance systems make it
possible to monitor a person as they move around. FR gathers a lot of information …

Modern computer vision applications suffer from catastrophic forgetting when incrementally
learning new concepts over time. The most successful approaches to alleviate this forgetting …

“Notice and choice” is the predominant approach for data privacy protection today. There is
considerable user-centered research on providing effective privacy notices but not enough …

With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …

Smart homes are more connected than ever before, with a variety of commercial devices
available. The use of these devices introduces new security and privacy risks in the home …

We present DeepCache, a principled cache design for deep learning inference in
continuous mobile vision. DeepCache benefits model execution efficiency by exploiting …

While the world still struggles against the devastating effects of the COVID‐19 pandemic,
governments and organisations are discussing how new technologies can be exploited to …

As an effective way to acquire accurate information about the driving environment, LiDAR
perception has been widely adopted in autonomous driving. The state-of-the-art LiDAR …

New concepts based on the Internet of Things propose the integration of the human factor as
a key component of novel interconnected ecosystems, to offer them new services and …