5g technology in healthcare and wearable devices: A review

DH Devi, K Duraisamy, A Armghan, M Alsharari… - Sensors, 2023 - mdpi.com
Wearable devices with 5G technology are currently more ingrained in our daily lives, and
they will now be a part of our bodies too. The requirement for personal health monitoring …

An Empirical Analysis on Detection and Recognition of Intra-Cranial Hemorrhage (ICH) using 3D Computed Tomography (CT) images

J Sengupta, R Alzbutas, H Kl - 2022 IEEE 2nd Mysore Sub …, 2022 - ieeexplore.ieee.org
An immediate rescue condition known as a brain stroke is primarily brought on by
inadequate blood flow to the brain and the Cellular damage on a permanent scale is the …

Dynamic proactive-reactive scheduling for URLLC in 5G: Leveraging XGBoost and network virtualization

S Hendaoui, F Hendaoui, N Zangar - Physical Communication, 2024 - Elsevier
In this paper, we focus on service coexistence within the 5G network. Specifically, we aim to
enhance the Quality of Service (QoS) for Ultra-Reliable Low Latency Communications …

Virtualized Secure Cloud Computing Using Targetive Dynamic Secured Resource Allocation Algorithm

D Singh, M Chitkara - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Currently Cloud Computing (CC) has dramatic changes in secured task scheduling in
emerging countries, the volume of the company must cost-effectively process large amounts …

An efficient secure vanet communication using multi authenticate homomorphic signature algorithm

R Verma - … Conference on Distributed Computing and Electrical …, 2023 - ieeexplore.ieee.org
Vehicular Ad-hoc Networks (VANETs) is a wireless network that provides communication
between vehicles and roadside infrastructure. It has been gaining high attention in the field …

Blockchain Based Intelligent Resource Management in Distributed Digital Twins Cloud

Z Lyu, C Cheng, H Lv, H Song - IEEE Network, 2023 - ieeexplore.ieee.org
This study focuses on optimizing resource monitoring and management (RMM) of artificial
intelligence (AI) systems. The study begins by discussing the fundamental concepts of …

[HTML][HTML] Empowering communication networks with MMR scheduler: A novel approach to balancing user throughput and fairness

MO Kabaou, N Zoghlami, H Hamouda… - Alexandria Engineering …, 2023 - Elsevier
In the field of communication networks, the management of resource allocation is a crucial
research area. To achieve efficient radio resource management, mobile telecommunications …

Alzheimer's Disease Prediction with K-means Clustering and Reinforcement Learning Approach

PS Rajendran - 2023 International Conference on Distributed …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a brain disease and an advanced type of dementia that
gradually worsens memory loss, impairs thinking, and makes it harder to do routine …

Traffic Flow Prediction in Intelligent Transportation using Spatial-Temporal Graph Convolution Attention Module

PK Pareek, RR Al-Fatlawy, R Manasa… - 2024 First …, 2024 - ieeexplore.ieee.org
The timely and accurate traffic flow prediction is critical for stable and safe Intelligent
Transportation System (ITS). Due to the nonlinearity and difficulty of traffic, the existing …

Massive Multiple-Input-Multiple-Output 5G Wireless Network using Multiple Objective Self-Organizing Sand Cat Swarm Optimization

MI Habelalmateen, L Audah - 2024 International Conference …, 2024 - ieeexplore.ieee.org
The establishment of a fifth-generation (5G) Wireless Network (WN) is a worldwide effective
research area. The network of 5G allows significant upgrades with the current system of …