In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

The rapid growth in population has led to substantial traffic bottlenecks in recent
transportation systems. This not only causes significant air pollution, and waste in time and …

In recent times the concept of smart cities have gained grate popularity. Thanks to the
evolution of Internet of things the idea of smart city now seems to be achievable. Consistent …

Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …

Driven by the core technologies, ie, sensor-based autonomous data acquisition and the
cloud-based big data analysis, IoT automates the actuation of data-driven intelligent actions …

Considering the increase of urban population and traffic congestion, smart parking is always
a strategic issue to work on, not only in the research field, but also from economic interests …

A deep learning model is adopted for predicting block-level parking occupancy in real time.
The model leverages Graph-Convolutional Neural Networks (GCNN) to extract the spatial …

With the development of society and the continuous advancement of urbanization, motor
vehicles have increased rapidly, which exacerbates the imbalance between parking supply …

Smart cities are part of the ongoing advances in technology to provide a better life quality to
its inhabitants. Urban mobility is one of the most important components of smart cities. Due …

Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …