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Found 6 papers, 2 papers with code
From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation
Stroke is the second leading cause of death worldwide.
Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning
COVID-19 has infected more than 68 million people worldwide since it was first detected about a year ago.
HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System
Diabetes Mellitus has no permanent cure to date and is one of the leading causes of death globally.
Secure and Privacy-Preserving Automated Machine Learning Operations into End-to-End Integrated IoT-Edge-Artificial Intelligence-Blockchain Monitoring System for Diabetes Mellitus Prediction
Machine learning approaches have been proposed and evaluated in the literature for diabetes prediction.
QoS-SLA-Aware Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing in Internet of Vehicles
This paper proposes a novel Artificial Intelligence QoS-SLA-aware adaptive genetic algorithm (QoS-SLA-AGA) to optimize the application's execution time for multi-request offloading in a heterogeneous edge-cloud computing system, which considers the impact of processing multi-requests overlapping and dynamic vehicle speed.
Performance and Energy-Aware Bi-objective Tasks Scheduling for Cloud Data Centers
The performance of the proposed model is evaluated using a realistic cloud dataset in a cloud computing environment.
