Abstract Internet-of-Things (IoT) has gained quick popularity with the evolution of
technologies such as big data analytics, block-chain, artificial intelligence, machine learning …

Energy efficiency is an emerging challenge for the built environment due to rapid
urbanisation. The built environment impacts human health and comfort, along with …

Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

Artificial Intelligence (AI) is becoming pervasive in most engineering domains, and railway
transport is no exception. However, due to the plethora of different new terms and meanings …

Urban mobility plays a key role in the ecosystems of complex smart cities. It is considered a
key factor in enabling cities to become more intelligent, which highlights the importance of …

Nature performs complex tasks in a simple yet efficient way. Natural processes may seem
straightforward from outside but are composed of several inherently complicated sub …

This research introduces a new probabilistic and meta-heuristic optimization approach
inspired by the Corona virus pandemic. Corona is an infection that originates from an …

Traffic congestion is one of the most critical issues in developing sustainable transportation
in smart cities. As the Internet of Things evolves, connected vehicle technology has arisen as …