Adaptive deep convolutional neural network‐based secure integration of fog to cloud supported Internet of Things for health monitoring system

R Kesavan, S Arumugam - Transactions on Emerging …, 2020 - Wiley Online Library
In recent years, the healthcare monitoring system plays a significant role in providing early
intervention for the people who are under risk. Several advanced technologies including the …

Streaming service provisioning in IoT‐based healthcare: An integrated edge‐cloud perspective

P Pratim Ray, D Dash… - Transactions on Emerging …, 2020 - Wiley Online Library
Bio‐sensor data streaming and analytics is a key component of smart e‐healthcare.
However, existing Internet of Things (IoT) ecosystem is unable to materialize the real‐time …

Design of edge-IoMT network architecture with weight-based scheduling

LM Tseng, PF Chen, CY Wen - Sensors, 2023 - mdpi.com
Population health monitoring based on the Internet of Medical Things (IoMT) is becoming an
important application trend healthcare improvement. This work aims to develop an …

Deep learning in IOT-based healthcare applications

SM Zobaed, M Hassan, MU Islam… - Deep Learning for …, 2021 - taylorfrancis.com
Internet of Things (IoT) has emerged as the fastest developing technology in the field of
computing where connectivity among various types of devices is unified. Accessibility …

Edge-Fog-Cloud Data Analysis for eHealth-IoT.

C Zaoui, F Benabbou… - International Journal of …, 2023 - search.ebscohost.com
Thanks to advancements in artificial intelligence and the Internet of Things (IoT), eHealth is
becoming an increasingly attractive area for researchers. However, different challenges …

Energy-efficient and reliable wearable Internet-of-Things through fog-assisted dynamic goal management

A Anzanpour, H Rashid, AM Rahmani, A Jantsch… - Procedia Computer …, 2019 - Elsevier
Management of energy dissipation and battery life is a challenge in health monitoring
wearables. Low-quality data collection, non-reliable monitoring process, and missing …

Insights of artificial intelligence to stop spread of covid-19

A Sufian, DS Jat, A Banerjee - Big Data Analytics and Artificial Intelligence …, 2020 - Springer
COVID-19, a pandemic that has pushed down human civilization in a severe threat. As
viruses of COVID-19 like diseases are transferable from human to human, so it becomes …

A performance based study on deep learning algorithms in the efficient prediction of heart disease

R Islam, AR Beeravolu, MAH Islam… - 2021 2nd …, 2021 - ieeexplore.ieee.org
Heart disease is the leading cause of death worldwide, nearly accounting for one-third of
deaths. Heart disease describes a range of conditions that affect your heart. Most of these …

[PDF][PDF] Healthcare Monitoring Using Ensemble Classifiers in Fog Computing Framework.

PM Arunkumar, M Masud, S Aljahdali… - … Systems Science & …, 2023 - cdn.techscience.cn
Nowadays, the cloud environment faces numerous issues like synchronizing information
before the switch over the data migration. The requirement for a centralized internet of things …

A Novel Framework for Fog‐Assisted Smart Healthcare System with Workload Optimization

AAH Abdellatif, A Singh, A Aldribi… - Computational …, 2022 - Wiley Online Library
Fog‐assisted and IoT‐enabled smart healthcare system with rapid response rates is the
major area of concern now a days. Dynamic and heterogeneous fog networks are difficult to …