Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …
in providing compute-and data-intensive services with low latency. Growing service …
Video caching, analytics, and delivery at the wireless edge: A survey and future directions
Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet
connectivity to meet the requirements of different applications, ranging from virtual reality to …
connectivity to meet the requirements of different applications, ranging from virtual reality to …
Battery thermal runaway propagation time delay strategy using phase change material integrated with pyro block lining: Dual functionality battery thermal design
In the view of the thermal runaway scenario phase change material are not capable to
withstand thermal propagation phenomenon, hence it is important to provide a novel …
withstand thermal propagation phenomenon, hence it is important to provide a novel …
Communication-efficient and distributed learning over wireless networks: Principles and applications
Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
Recent progress towards photovoltaics' circular economy
Massive expansions in the global population and the global digitalization throughout the
industrial revolution are causing energy security issues that are no longer environmentally …
industrial revolution are causing energy security issues that are no longer environmentally …
Survey on joint paradigm of 5G and SDN emerging mobile technologies: Architecture, security, challenges and research directions
Modern communication systems are probable to surface new challenges while introducing
innovative fronts concerning context consciousness in wireless networks. The main outcome …
innovative fronts concerning context consciousness in wireless networks. The main outcome …
[HTML][HTML] A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence
Abstract Brain-Computer Interaction (BCI) system intelligence has become more dependent
on electroencephalogram (EEG)-based emotion recognition because of the numerous …
on electroencephalogram (EEG)-based emotion recognition because of the numerous …
Quantum neural networks: Concepts, applications, and challenges
Quantum deep learning is a research field for the use of quantum computing techniques for
training deep neural networks. The research topics and directions of deep learning and …
training deep neural networks. The research topics and directions of deep learning and …
Enhancement of direct power control by using artificial neural network for a doubly fed induction generator-based WECS: an experimental validation
Direct power control (DPC) is among the most popular control schemes used in renewable
energy because of its many advantages such as simplicity, ease of execution, and speed of …
energy because of its many advantages such as simplicity, ease of execution, and speed of …
Chained-drones: Blockchain-based privacy-preserving framework for secure and intelligent service provisioning in internet of drone things
We leverage blockchain technology for malicious node detection in Internet of Drone Things
(IoDTs). IoDTs additionally provide a secure mechanism of service delivery based on …
(IoDTs). IoDTs additionally provide a secure mechanism of service delivery based on …