[HTML][HTML] A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

A Rehman, S Abbas, MA Khan, TM Ghazal… - Computers in Biology …, 2022 - Elsevier
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a
tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge …

[HTML][HTML] A fusion-based machine learning approach for the prediction of the onset of diabetes

MW Nadeem, HG Goh, V Ponnusamy, I Andonovic… - Healthcare, 2021 - mdpi.com
A growing portfolio of research has been reported on the use of machine learning-based
architectures and models in the domain of healthcare. The development of data-driven …

Data Fusion-based machine learning architecture for intrusion detection

TM Ghazal - Computers, Materials & Continua, 2022 - research.skylineuniversity.ac.ae
In recent years, the infrastructure of Wireless Internet of Sensor Networks (WIoSNs) has
been more complicated owing to developments in the internet and devices' connectivity. To …

Fuzzy‐Based Fusion Model for β‐Thalassemia Carriers Prediction Using Machine Learning Technique

M Ibrahim, S Abbas, A Fatima… - Advances in Fuzzy …, 2024 - Wiley Online Library
The abnormality of haemoglobin in the human body is the fundamental cause of
thalassemia disease. Thalassemia is considered a common genetic blood condition that has …

[HTML][HTML] A review on machine learning approaches in identification of pediatric epilepsy

MIB Ahmed, S Alotaibi, S Dash, M Nabil… - SN Computer …, 2022 - Springer
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …

A deep learning approach to intelligent fruit identification and family classification

NM Ibrahim, DGI Gabr, A Rahman, S Dash… - Multimedia Tools and …, 2022 - Springer
The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …

Intelligent Cloud Based Heart Disease Prediction System Empowered with Supervised Machine Learning.

MA Khan, S Abbas, A Atta, A Ditta… - Computers …, 2020 - search.ebscohost.com
The innovation in technologies related to health facilities today is increasingly helping to
manage patients with different diseases. The most fatal of these is the issue of heart disease …

Energy demand forecasting using fused machine learning approaches

TM Ghazal - Intelligent Automation & Soft …, 2022 - research.skylineuniversity.ac.ae
The usage of IoT-based smart meter in electric power consumption shows a significant role
in helping the users to manage and control their electric power consumption. It produces …

[PDF][PDF] Simulation, modeling, and optimization of intelligent kidney disease predication empowered with computational intelligence approaches

AH Khan, MA Khan, S Abbas… - … Materials & Continua, 2021 - cdn.techscience.cn
Artificial intelligence (AI) is expanding its roots in medical diagnostics. Various acute and
chronic diseases can be identified accurately at the initial level by using AI methods to …

[PDF][PDF] Intelligent software-defined network for cognitive routing optimization using deep extreme learning machine approach

F Alhaidari, SH Almotiri, MA Al Ghamdi… - … Materials & Continua, 2021 - cdn.techscience.cn
In recent years, the infrastructure, instruments, and resources of network systems are
becoming more complex and heterogeneous, with the rapid development of current internet …