The deployment of multiple robots for achieving a common goal helps to improve the
performance, efficiency, and/or robustness in a variety of tasks. In particular, the observation …

The study of multi-agent systems such as drone swarms has been intensified due to their
cooperative behavior. Nonetheless, automating the control of a swarm is challenging as …

Edge computing efficiently extends the realm of information technology beyond the
boundary defined by cloud computing paradigm. Performing computation near the source …

This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …

Due to the recent advancements in the Internet of Things (IoT) and Edge-Fog-Cloud
Computing technologies, the Smart Public Safety (SPS) system has become a more realistic …

In this article, we make the case for the new class of Self-aware Cyber-physical Systems. By
bringing together the two established fields of cyber-physical systems and self-aware …

We review the impact of deep-learning technologies on camera architecture. The function of
a camera is first to capture visual information and second to form an image. Conventionally …

Efficient placement of cameras to perform surveillance tasks has a significant impact on the
overall performance as well as cost of video surveillance systems. Identifying an optimal …

In recent years, the technology of small-scale unmanned aerial vehicles (UAVs) has steadily
improved in terms of flight time, automatic control, and image acquisition. This has lead to …

Photogrammetry systems are widely used in industrial manufacturing applications as an
assistance measurement tool. Not only does it provide high-precision feedback for assembly …