The discourse surrounding sustainability, particularly in the urban environment, has gained
considerable momentum in recent years. The concept of a smart city epitomises the …

Numerous ports worldwide are adopting automation to boost productivity and modernize
their operations. At this point, smart ports become a more important paradigm for handling …

This research investigates the application of machine learning models to optimise
renewable energy systems and contribute to achieving Net Zero emissions targets. The …

At the network edges, the multi-tier computing framework provides mobile users with efficient
cloud-like computing and signal processing capabilities. Deploying digital twins in the multi …

Digital Twins (DTs) and Cyber-Physical Systems (CPSs) have the potential to play a crucial
role in creating intelligent, connected, and efficient commercial vehicles (buses and trucks) …

The accuracy and timeliness tradeoff prevents Digital Twins (DTs) from realizing their full
potential. High accuracy is crucial for decision-making, and timeliness is equally essential …

This chapter explores the significant impact of Machine Learning (ML) and the Internet of
Things (IoT) on smart healthcare management, marking a new era of innovation with …

The idea of next-generation ports has become more apparent in the last ten years-in
response to the challenge posed by the rising demand for efficiency and the ever-increasing …

In existing wireless networks, the control programs have been designed manually and for
certain predefined scenarios. This process is complicated and error-prone, and the resulting …

Topology discovery is the key function of core network management since it utilizes the
perception of data and mapping network devices. Nevertheless, it holds operational and …