A comprehensive review on federated learning based models for healthcare applications
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …
body. Pathology determines the causes behind the disease and identifies its development …
[HTML][HTML] Survey on sensors and smart devices for IoT enabled intelligent healthcare system
Abstract The Internet of Things (IoT) in the healthcare system is rapidly changing from the
conventional hospital and concentrated specialist behavior to a distributed, patient-centric …
conventional hospital and concentrated specialist behavior to a distributed, patient-centric …
[HTML][HTML] Fault prediction recommender model for IoT enabled sensors based workplace
Industry 5.0 benefits from advancements being made in the field of machine learning and
the Internet of Things. Different sensors have been installed in a variety of IoT devices …
the Internet of Things. Different sensors have been installed in a variety of IoT devices …
[HTML][HTML] Enhanced cloud storage encryption standard for security in distributed environments
S Kautish, S Juneja, K Mohiuddin, FK Karim… - Electronics, 2023 - mdpi.com
With the growing number of cloud users, shared data auditing is becoming increasingly
important. However, these schemes have issues with the certificate management. Although …
important. However, these schemes have issues with the certificate management. Although …
[HTML][HTML] An effective technique to schedule priority aware tasks to offload data on edge and cloud servers
Recent advancements in the Internet of Things (IoT) have enhanced the quality of life
globally. Billions of devices are brought under the ambit of IoT to make them smarter. IoT …
globally. Billions of devices are brought under the ambit of IoT to make them smarter. IoT …
[HTML][HTML] Analysis of IoT-Related Ergonomics-Based Healthcare Issues Using Analytic Hierarchy Process Methodology
The objective of the present work is for assessing ergonomics-based IoT (Internet of Things)
related healthcare issues with the use of a popular multi-criteria decision-making technique …
related healthcare issues with the use of a popular multi-criteria decision-making technique …
Machine learning approaches for an automatic email spam detection
With the rapid growth of internet users, spam emails have become a major problem.
Spammers can easily create fake profiles and email accounts by pretending to be genuine …
Spammers can easily create fake profiles and email accounts by pretending to be genuine …
Machine Learning Approaches for Early Identification of Thyroid Disease
Thyroid disease is becoming increasingly common around the world. Tension, infection,
trauma, toxins, a low-calorie diet, and intake of excess medications have a negative effect on …
trauma, toxins, a low-calorie diet, and intake of excess medications have a negative effect on …
Cloud infrastructure fault monitoring and prediction system using LSTM based predictive maintenance
By analysing the system logs, which provide us with useful information, we may identify the
key information about the system or application that helps in better utilisation of system …
key information about the system or application that helps in better utilisation of system …
[HTML][HTML] Logistic model tree forest for steel plates faults prediction
Fault prediction is a vital task to decrease the costs of equipment maintenance and repair, as
well as to improve the quality level of products and production efficiency. Steel plates fault …
well as to improve the quality level of products and production efficiency. Steel plates fault …