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Found 9 papers, 2 papers with code
ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directions
Existing research work on ChatGPT focused on its use in various domains.
Metaverse: A Vision, Architectural Elements, and Future Directions for Scalable and Realtime Virtual Worlds
With the emergence of Cloud computing, Internet of Things-enabled Human-Computer Interfaces, Generative Artificial Intelligence, and high-accurate Machine and Deep-learning recognition and predictive models, along with the Post Covid-19 proliferation of social networking, and remote communications, the Metaverse gained a lot of popularity.
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.
Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation
The outbreak of the COVID-19 pandemic revealed the criticality of timely intervention in a situation exacerbated by a shortage in medical staff and equipment.
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.
