With the advent of fog computing, its use to provide real-time services at the network's edge
has increased. However, running computationally-demanding applications in smart vehicles …

With the proliferation of mobile devices and a wealth of rich application services, the Internet
of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive …

With the emergence of COVID-19, smart healthcare, the Internet of Medical Things, and big
data-driven medical applications have become even more important. The biomedical data …

Due to recent advances in processing, information and communication technology, there are
a variety of networked sensor-based systems and devices deployed on the scale of …

With the development of Internet of Vehicles (IoV) and the gradual maturity of 5th Generation
Mobile Networks (5G) technology, the further development of the IoV highly relies on …

The prediction of river sediment load is an essential issue in water resource engineering
problems. In this study, artificial neural network employed in order to estimate the daily …

The high‐speed movement of vehicles is the core factor affecting the rapid development of
vehicular ad hoc network (VANET), especially the impact of vehicle mobility on data access …

The collaborative filtering adopted by traditional recommendation system has data sparsity
problem, and the matrix decomposition method simply decomposes users and items into …

With the exponential rise of the number of IoT devices, the amount of data being produced is
massive. Thus, it is unfeasible to send all the raw data directly to the cloud for processing …

The increase in data amount makes the traditional Internet of Vehicles (IoV) fail to meet
users' needs. Hence, the IoV is explored in series. To study the construction of freight integer …