IoT security in healthcare using AI: A survey
SS Gopalan, A Raza… - … , Signal Processing, and …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) and Artificial Intelligence (AI) has led the digital transformation in
modern healthcare. With any kind of digital transformation, security challenges must be …
modern healthcare. With any kind of digital transformation, security challenges must be …
IoT-based smart health system for ambulatory maternal and fetal monitoring
The adoption of IoT for smart health applications is a relevant tool for distributed and
intelligent automatic diagnostic systems. This work proposes the development of an …
intelligent automatic diagnostic systems. This work proposes the development of an …
Advanced metameric dimension framework for heterogeneous industrial Internet of things
The heterogeneous industrial Internet of things (HetIoT) is a recent area of research that can
change both our perception of fundamental informatics and the effectiveness of future …
change both our perception of fundamental informatics and the effectiveness of future …
Survival study on deep learning techniques for IoT enabled smart healthcare system
Purpose The paper is to study a review of the employment of deep learning (DL) techniques
inside the healthcare sector, together with the highlight of the strength and shortcomings of …
inside the healthcare sector, together with the highlight of the strength and shortcomings of …
Blockchain–a promising solution to internet of things: A comprehensive analysis, opportunities, challenges and future research issues
Blockchain (BC) technology is a promising answer for providing security and ensuring
protection in a distributed way. It has transformed the digital currency platform with the …
protection in a distributed way. It has transformed the digital currency platform with the …
Machine learning based distributed big data analysis framework for next generation web in IoT
For the advancement of the Internet of Things (IoT) and Next Generation Web, various
applications have emerged to process structured or unstructured data. Latency, accuracy …
applications have emerged to process structured or unstructured data. Latency, accuracy …
The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model
M Abdel-Basset, W Ding, L Abdel-Fatah - Information Fusion, 2020 - Elsevier
Abstract Obstructive Sleep Apnea (OSA) syndrome is one of the most widespread diseases
that difficult to be detected and remedied. In particular, the examination of OSA by using the …
that difficult to be detected and remedied. In particular, the examination of OSA by using the …
An advanced decision tree-based deep neural network in nonlinear data classification
Deep neural networks (DNNs), the integration of neural networks (NNs) and deep learning
(DL), have proven highly efficient in executing numerous complex tasks, such as data and …
(DL), have proven highly efficient in executing numerous complex tasks, such as data and …
[PDF][PDF] Real-time artificial intelligence based health monitoring, diagnosing and environmental control system for COVID-19 patients
By upgrading medical facilities with internet of things (IoT), early researchers have produced
positive results. Isolated COVID-19 patients in remote areas, where patients are not able to …
positive results. Isolated COVID-19 patients in remote areas, where patients are not able to …
Design of a model based engineering deep learning scheduler in cloud computing environment using Industrial Internet of Things (IIOT)
Abstract The Industrial Internet of Things (IIoT) integrated with cloud computing resources
offers effective advancements in the field of industrial automation with open connectivity and …
offers effective advancements in the field of industrial automation with open connectivity and …