Currently, advanced communications and networks greatly enhance user experiences and
have a major impact on all aspects of people's lifestyles in terms of work, society, and the …

With the popularity of smart devices, multi-access edge computing (MEC) has become the
mainstream of dealing with big data in heterogeneous Internet of Things (H-IoT). MEC …

This paper attempts to identify the requirement and the development of machine learning-
based mobile big data (MBD) analysis through discussing the insights of challenges in the …

In this paper, we develop a novel variational Bayesian learning method for the Dirichlet
process (DP) mixture of the inverted Dirichlet distributions, which has been shown to be very …

The increasingly sophisticated cyber attacks have become a serious challenge for Industrial
Internet of Things (IIoT), which presents two new characteristics: low frequency and multi …

With the advancement of wireless communication technologies and rich embedded sensors
in smart mobile devices, mobile crowdsensing has become an attractive paradigm for …

Intelligent connected vehicle trajectory data are of great value for data mining applications
such as traffic management and commercial institutions. However, the leakage of sensitive …

Coordinated multipoint joint transmission (JT) is a vital technique of the fifth-generation (5G)
networks to increase throughput but causes a significant burden on network backhaul …

Now a days, world is witnessing a huge flood of data due to ever growing heterogeneous
traffic, mobile network subscribers and online services. This trend is evolving continuously at …

Intelligent taxicab scheduling systems on smartphones continue to gain popularity as they
offer prominent conveniences for urban travelling as well as increase potential profits for …