Metaverse for healthcare: a survey on potential applications, challenges and future directions

R Chengoden, N Victor, T Huynh-The, G Yenduri… - IEEE …, 2023 - ieeexplore.ieee.org
The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …

An efficient hardware supported and parallelization architecture for intelligent systems to overcome speculative overheads

S Kumar, SK Singh, N Aggarwal… - … Journal of Intelligent …, 2022 - Wiley Online Library
In the last few decades, technology advancements have paved the way for the creation of
intelligent and autonomous systems that utilize complex calculations which are both time …

Machine learning algorithms for smart and intelligent healthcare system in Society 5.0

IF Zamzami, K Pathoee, BB Gupta… - … Journal of Intelligent …, 2022 - Wiley Online Library
The pandemic has shown us that it is quite important to keep track record our health digitally.
And at the same time, it also showed us the great potential of Instruments like wearable …

Dual adaption based evolutionary algorithm for optimized the smart healthcare communication service of the Internet of Things in smart city

SP Singh, W Viriyasitavat, S Juneja, H Alshahrani… - Physical …, 2022 - Elsevier
Abstract The Internet of Things (IoT) is a revolutionary technique of sharing data for smart
devices that generates huge amounts of data from smart healthcare systems. Therefore …

Wireless body area networks task offloading method combined with multiple communication and computing resources supported by MEC

C Zhu, J Ren, H Wan, T Qin - IET Communications, 2023 - Wiley Online Library
In recent years, mobile edge computing (MEC) has become a promising solution to solve the
shortage of technical resources in wireless body area networks (WBANs). However, the …

Collaborative multi-agent deep reinforcement learning for energy-efficient resource allocation in heterogeneous mobile edge computing networks

Y Xiao, Y Song, J Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an enabling technology for next-generation network
architectures to deliver more diversified communication services and meet more demanding …

Effective data management strategy and RDD weight cache replacement strategy in Spark

K Jiang, S Du, F Zhao, Y Huang, C Li, Y Luo - Computer Communications, 2022 - Elsevier
With the dramatic increase in internet users and their demand for real-time network
performance, Spark has distributed computing environment has emerged. It is widely used …

Data-driven task offloading method for resource-constrained terminals via unified resource model

X Chen, Y Mao, H Wang, Y Xu, D Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In recent years, with an increasing number of Internet of Things (IoT) devices, general cloud
computing mode is hard to process large amounts of data with high Quality of Service (QoS) …

Learning-Driven Algorithms for Responsive AR Offloading With Non-Deterministic Rewards in Metaverse-Enabled MEC

Z Xu, Z Yuan, W Liang, D Liu, W Xu… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
In the coming era of Metaverse, Augmented Reality (AR) has become a key enabler of
diverse applications including healthcare, education, smart cities, and entertainments. To …

[HTML][HTML] Hyper-graph matching D2D offloading scheme for enhanced computation and communication capacity

P Zhao, L Chen, Z Jiang, D Xu, T Chen, J Yang - Ad Hoc Networks, 2024 - Elsevier
Abstract As the Internet of Things (IoT) and its intelligent applications continue to proliferate,
forthcoming 6G networks will confront the dual challenge of heightened communication and …