In recent years, reinforcement learning (RL) has attracted significant attention from both
industry and academia due to its success in solving some complex problems. This paper …

The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …

Highlights•A new learning controller is developed for an industrial control system.•An
ensemble learning based reinforcement learning method is proposed.•A real industrial strip …

Emerging technological innovation toward e-Health transition is a worldwide priority for
ensuring people's quality of life. Hence, secure exchange and analysis of medical data …

The rapid evolution of remote health monitoring applications is foreseen to be a crucial
solution for facing an unpredictable health crisis and improving the quality of life. However …

Possessing efficient supervisory control systems is crucial for maintaining the desired
operational performance of complex industrial processes. Several challenges face the …

The high demand for energy resources due to the increasing number of electronic devices
has prompted the constant search for different or alternative energy sources to reduce …

To meet the rapid increasing requirement of service and application of communication,
heterogeneous wireless networks with the macrocell and the femtocells are considered in …

The steady increase in data traffic rates and systems' complexity have contributed to the
information and communication technologies (ICT) sector's increased energy consumption …

In recent years, the rapid development of Internet technology and its applications has led to
an exponential growth in the number of Internet users and wireless terminal devices …