A secure ensemble learning-based fog-cloud approach for cyberattack detection in IoMT

F Khan, MA Jan, R Alturki, MD Alshehri… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) effectively tackles several shortcomings of
conventional healthcare systems. It includes medical personnel shortages, patient care …

[Retracted] IoT‐Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction

S Padhy, S Dash, S Routray, S Ahmad… - Computational …, 2022 - Wiley Online Library
Nowadays, there is a growing need for Internet of Things (IoT)‐based mobile healthcare
applications that help to predict diseases. In recent years, several people have been …

IoMT-based smart healthcare monitoring system using adaptive wavelet entropy deep feature fusion and improved RNN

MDM Akhtar, RSA Shatat, ASA Shatat… - Multimedia Tools and …, 2023 - Springer
With the help of pervasive computing, human living has changed into a smarter way using
the developments in IoMT, telecommunication technologies, and wearable sensors for …

Enabling the internet of bodies through capacitive body channel access schemes

A Celik, AM Eltawil - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The Internet of Bodies (IoB) is an imminent extension of the vast Internet of Things (IoT)
domain, where wearable, ingestible, injectable, and implantable smart objects form a …

Healthcare data security using lightweight protocol for cyber physical system

PK Roy, A Singh, JV Desai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Healthcare systems are equipped with the latest technological advancement and remotely
diagnose the patients. In critical conditions, the patients need continuous monitoring by …

[HTML][HTML] FSRW: fuzzy logic-based whale optimization algorithm for trust-aware routing in IoT-based healthcare

H Xu, W Liu, L Li, D Yao, L Ma - Scientific Reports, 2024 - nature.com
Abstract The Internet of Things (IoT) is an extensive system of interrelated devices equipped
with sensors to monitor and track real world objects, spanning several verticals, covering …

Joint optimization of energy and QoS for smart clothing with multiposture participation

L Zhang, P Lin, K Deng, G Huang… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The rising aging population, inequality of medical resources, and severe COVID-19 infection
rate raise inevitable individual and social contradictions. One of the representative …

Collaborative Trajectory Planning for Autonomous Mining Trucks: A Grouping and Prioritized Optimization Based Approach

H Li, P Chen, G Yu, B Zhou, Z Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The bottleneck of trajectory planning for autonomous driving at mining site has shifted from
single truck to multi trucks, particularly in the loading area where collaborative trajectory …

MC-Multi PUF based lightweight authentication framework for internet of medical things

PK Sadhu, VP Yanambaka… - 2022 IEEE 8th World …, 2022 - ieeexplore.ieee.org
With the recent advancement of the Internet of Things (IoT) in the field of healthcare and
wearable devices, integration enables all objects to connect to the internet and exchange …

Pneumonia Detection Using Asynchronous Split Learning Method

T Majumder, UD Sarma, S Choudhury… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Use of deep learning in medical healthcare is a rapidly developing sector. Training a deep
learning model requires huge amount of data. As individual Hospital does not have …