Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives

M Karatas, L Eriskin, M Deveci, D Pamucar… - Expert Systems with …, 2022 - Elsevier
The innovative technologies emerged with the industrial revolution “Industry 4.0” as well as
the new ones on the way of advanced digitalization enable delivering enhanced, value …

Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey

B Kar, W Yahya, YD Lin, A Ali - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

A comprehensive survey of the Internet of Things (IoT) and AI-based smart healthcare

F Alshehri, G Muhammad - IEEE access, 2020 - ieeexplore.ieee.org
Smart health care is an important aspect of connected living. Health care is one of the basic
pillars of human need, and smart health care is projected to produce several billion dollars …

An intelligent healthcare monitoring framework using wearable sensors and social networking data

F Ali, S El-Sappagh, SMR Islam, A Ali, M Attique… - Future Generation …, 2021 - Elsevier
Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …

Human action recognition using attention based LSTM network with dilated CNN features

K Muhammad, A Ullah, AS Imran, M Sajjad… - Future Generation …, 2021 - Elsevier
Human action recognition in videos is an active area of research in computer vision and
pattern recognition. Nowadays, artificial intelligence (AI) based systems are needed for …

Multi-grade brain tumor classification using deep CNN with extensive data augmentation

M Sajjad, S Khan, K Muhammad, W Wu, A Ullah… - Journal of computational …, 2019 - Elsevier
Numerous computer-aided diagnosis (CAD) systems have been recently presented in the
history of medical imaging to assist radiologists about their patients. For full assistance of …

Text mining of industry 4.0 job advertisements

M Pejic-Bach, T Bertoncel, M Meško, Ž Krstić - International journal of …, 2020 - Elsevier
Since changes in job characteristics in areas such as Industry 4.0 are rapid, fast tool for
analysis of job advertisements is needed. Current knowledge about competencies required …

Hybrid optimization with cryptography encryption for medical image security in Internet of Things

M Elhoseny, K Shankar, SK Lakshmanaprabu… - Neural computing and …, 2020 - Springer
The development of the Internet of Things (IoT) is predicted to change the healthcare
industry and might lead to the rise of the Internet of Medical Things. The IoT revolution is …

Healthcare 4.0: trends, challenges and research directions

GL Tortorella, FS Fogliatto… - … Planning & Control, 2020 - Taylor & Francis
This paper aims at examining the trends, challenges and theoretical gaps in the
implementation of Healthcare 4.0 (H4. 0) based on a scoping review of the literature. For …

Challenges and recommended technologies for the industrial internet of things: A comprehensive review

M Younan, EH Houssein, M Elhoseny, AA Ali - Measurement, 2020 - Elsevier
Physical world integration with cyber world opens the opportunity of creating smart
environments; this new paradigm is called the Internet of Things (IoT). Communication …