A survey on federated learning for security and privacy in healthcare applications

KK Coelho, M Nogueira, AB Vieira, EF Silva… - Computer …, 2023 - Elsevier
Technological advances in smart devices and applications targeting the Internet of
Healthcare Things provide a perfect environment for using Machine Learning-based …

[HTML][HTML] An empirical investigation into the altering health perspectives in the internet of health things

NM Bahbouh, SS Compte, JV Valdes… - International Journal of …, 2023 - Springer
Healthcare is on top of the agenda of all governments in the world as it is related to the well-
being of the people. Naturally, this domain has attracted the attention of many researchers …

Evaluation and Quality Assurance of Fog Computing‐Based IoT for Health Monitoring System

QingQingChang, I Ahmad, X Liao… - … and Mobile Computing, 2021 - Wiley Online Library
Computation and data sensitivity are the metrics of the current Internet of Things (IoT). In
cloud data centers, current analytics are often hosted and reported on suffering from high …

[PDF][PDF] Efficient data augmentation techniques for improved classification in limited data set of Oral squamous cell carcinoma

W Alosaimi, MI Uddin - Comput Model Eng Sci, 2022 - cdn.techscience.cn
Deep Learning (DL) techniques as a subfield of data science are getting overwhelming
attention mainly because of their ability to understand the underlying pattern of data in …

Reducing control packets using covering rough set for route selection in mobile ad hoc networks

T Sudhakar, HH Inbarani - Comprehensive Guide to Heterogeneous …, 2023 - Elsevier
A mobile ad hoc network (MANET) is an autonomous network. In this network, routing plays
an important role while moving from one location to another due to high mobility, stipulation …