Deep Learning (DL) algorithms based on artificial neural networks have achieved
remarkable success and are being extensively applied in a variety of application domains …

Nowadays, the purpose of human genomics is widely emerging in health-related problems
and also to achieve time and cost-efficient healthcare. Due to advancement in genomics and …

A new trend of using deep reinforcement learning for traffic signal control has become a
spotlight in the Intelligent Transportation System (ITS). However, the traditional intelligent …

The development of Industrial Internet of Things (IIoT) provides massive abundant data
resources for trading and mining. However, the existing data trading schemes achieve data …

Cloud computing has established itself as the support for the vast majority of emerging
technologies, mainly due to the characteristic of elasticity it offers. Auto-scalers are the …

Mobile crowdsensing provides the data collection and sharing for the 5G-enabled industrial
Internet of Things. However, the redundant and duplicated heterogeneous sensing data …

In Industry 4.0, the digital twin is one of the emerging technologies, offering simulation
abilities to predict, refine, and interpret conditions and operations, where it is crucial to …

It is enormously challenging to achieve a satisfactory balance between quality of service
(QoS) and users' privacy protection along with measuring privacy disclosure in social …

Privacy-preserving data aggregation is becoming a demanding necessity for many
promising scenarios, eg, health care analysis. Sensitive data are collected and aggregated …

Widespread applications of 5G technology have prompted the outsourcing of computation
dominated by the Internet of Things (IoT) cloud to improve transmission efficiency, which has …