Traffic management is improved in cutting-edge smart cities using technologies such as
machine learning and deep learning to streamline daily tasks and boost productivity …

As the world becomes increasingly urbanized, the development of smart cities and the
deployment of IoT applications will play an essential role in addressing urban challenges …

Abstract Internet of Things (IoT) has been widely utilized as the major significant element of
Information and Communications Technology (ICT) for feasible smart cities due to the …

Abstract Implementing Intelligent Transport System (ITS) presents many challenges despite
its potential to enhance mobility, reduce congestion, and improve traffic management in …

The remarkable miniaturization of Internet of Things (IoT)-based systems and the rise of
distributed intelligence are promising research paradigms in the design of smart cities. IoT …

Digital twins are considered the next step in IoT-based cyber–physical systems; they allow
for the real-time monitoring of assets, and they provide a comprehensive understanding of a …

Rapid urbanisation has intensified the need for sustainable solutions to address challenges
in urban infrastructure, climate change, and resource constraints. This study reveals that …

There is rising public concern about exposure to radiofrequency (RF) electromagnetic fields
(EMF) as more and more wireless communications become concentrated in everyday living …

The wide use and availability of machine learning and computer vision techniques allows
develo** relatively complex monitoring systems in multiple domains. Besides the …

Air pollution is a global issue that impacts environmental inequalities, and air quality sensors
can have a decisive role in city policymaking for future cities. Science and society are …