Artificial intelligence-based Kubernetes container for scheduling nodes of energy composition

D Jorge-Martinez, SA Butt, EM Onyema… - International Journal of …, 2021 - Springer
Kubernetes is a portable, extensible, open-source platform for managing containerized
workloads and services that facilitates both declarative configuration and automation. This …

[HTML][HTML] An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models

N El-Rashidy, A Sedik, AI Siam, ZH Ali - Neural Computing and …, 2023 - Springer
Emergency medicine (EM) is one of the attractive research fields in which researchers
investigate their efforts to diagnose and treat unforeseen illnesses or injuries. There are …

Examon-x: a predictive maintenance framework for automatic monitoring in industrial iot systems

A Borghesi, A Burrello, A Bartolini - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In recent years, the Industrial Internet of Things (IIoT) has led to significant steps forward in
many industries, thanks to the exploitation of several technologies, ranging from Big Data …

An intelligent edge enabled 6G‐flying ad‐hoc network ecosystem for precision agriculture

A Mukherjee, AK Panja, N Dey, RG Crespo - Expert Systems, 2023 - Wiley Online Library
Unmanned aerial vehicle based precision agriculture is a predominant research area. The
modern flying ad‐hoc network leverages the advanced low latency vehicular communication …

A pairing-free data authentication and aggregation mechanism for intelligent healthcare system

P Verma, DS Gupta - Computer Communications, 2023 - Elsevier
Abstract The Intelligent Healthcare System (IHS), a prominent medical area underlying the
Internet of Things (IoT), might be deployed to gather and analyze health information across a …

Deep learning integrated reinforcement learning for adaptive beamforming in B5G networks

G Eappen, J Cosmas, R Nilavalan… - IET …, 2022 - Wiley Online Library
In this paper, a deep learning integrated reinforcement learning (DLIRL) algorithm is
proposed for comprehending intelligent beamsteering in Beyond Fifth Generation (B5G) …

A lightweight authentication and key agreement protocol for IoT-based smart healthcare system

S Das, MP Singh, S Namasudra - 2023 World Conference on …, 2023 - ieeexplore.ieee.org
Nowadays, the enormous advantages of the Internet of Things (IoT) are being used in a
variety of fields, including, but not limited to, transportation, healthcare, and traffic monitoring …

Entropy‐based complex proportional assessment for efficient task scheduling in fog computing

NK Malathy, T Revathi - Transactions on Emerging …, 2023 - Wiley Online Library
The tasks are offloaded to fog computing instead of cloud computing to enhance the quality
of service (QoS) of internet of things (IoT) applications. Though it provides improved QoS the …

Stochastic analysis of fog computing and machine learning for scalable low-latency healthcare monitoring

A Amzil, M Abid, M Hanini, A Zaaloul, S El Kafhali - Cluster Computing, 2024 - Springer
In recent years, healthcare monitoring systems (HMS) have increasingly integrated the
Internet of Medical Things (IoMT) with cloud computing, leading to challenges related to data …

Edge artificial intelligence-based affinity task offloading under resource adjustment in a 5G network

J Wang - Applied Intelligence, 2022 - Springer
Artificial intelligence, which can provide cognitive services in mobile edge cloud computing
to improve the user's quality of experience, has attracted significant attention. Edge …