Blockchain-Based Privacy-Aware Contextual Online Learning for Collaborative Edge-Cloud-Enabled Nursing System in Internet of Things

J Wu, P Zhou, Q Chen, Z Xu, X Ding… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid growth of Internet of Things (IoT), smart home develops rapidly in these years,
which could assist people who need family medical support. It could integrate healthcare …

Immunoplane: Middleware for providing adaptivity to distributed internet-of-things applications

K Jung, G Mitra, S Gopalakrishnan… - 2024 IEEE/ACM Ninth …, 2024 - ieeexplore.ieee.org
Distributed Internet-of-Things (IoT) applications operate in a dynamic environment, and
therefore need to adapt in response to unexpected failures and changes in the operating …

[图书][B] Deep Learning Techniques for IoT Security and Privacy

M Abdel-Basset, N Moustafa, H Hawash, W Ding - 2022 - Springer
Deep Learning Techniques for IoT Security and Privacy Page 1 Studies in Computational
Intelligence 997 Mohamed Abdel-Basset Nour Moustafa Hossam Hawash Weiping Ding Deep …

Cognit: Challenges and vision for a serverless and multi-provider cognitive cloud-edge continuum

P Townend, AP Martí, I De La Iglesia… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
Use of the serverless paradigm in cloud application development is growing rapidly,
primarily driven by its promise to free developers from the responsibility of provisioning …

FLIRRAS: fast learning with integrated reward and reduced action space for online multitask offloading

M Ma, C Gong, L Wu, Y Yang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
With the rapid development of edge data intelligence, task offloading (TO) and resource
allocation (RA) optimization in multiaccess edge computing networks can significantly …

Optimizing Logging and Monitoring in Heterogeneous Cloud Environments for IoT and Edge Applications

C Kim, S Kim - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
As data is becoming more and more important, Internet of Things (IoT) devices are widely
used to collect information and process data from various industries, such as finance …

Secure and scalable collaborative edge computing using decision tree

D Puthal, E Damiani, SP Mohanty - 2022 IEEE Computer …, 2022 - ieeexplore.ieee.org
Edge computing is an essential step of an IoT-Edge workflow, where the Internet of Things
(IoT) devices sense or collect the data, and data are processed and evaluated at the edge …

An augmented edge architecture for AI-IoT services deployment in the modern era

N Ambika - Handbook of research on technical, privacy, and …, 2022 - igi-global.com
The previous proposal gains prognostic and regulatory examination. It uses boundary-
based AI procedures to accomplish its task. It analyzes its received transmission utilizing a …

[HTML][HTML] A look into smart factory for Industrial IoT driven by SDN technology: A comprehensive survey of taxonomy, architectures, issues and future research …

NN Josbert, M Wei, W Ping, A Rafiq - Journal of King Saud University …, 2024 - Elsevier
Abstract The Internet of Things (IoT) provides a major contribution to the innovation of smart
manufacturing and industrial automation. Due to IoT, network devices and intelligent …

Deep: A vertical-oriented intelligent and automated platform for the edge and fog

C Guimarães, M Groshev, L Cominardi… - IEEE …, 2021 - ieeexplore.ieee.org
The fifth generation (5G) of mobile communications introduces improvements on many fronts
when compared to its previous generations. Besides the performance enhancements and …