7 citations · 20 across the 7 of their papers we have counts for
9 papers
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments
Duneesha Fernando, Maria A. Rodriguez, Patricia Arroba +2
Microservice architectures are increasingly used to modularize IoT applications and deploy them in distributed and heterogeneous edge computing environments. Over time, these micro…
ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directions
Nada Shahin, Leila Ismail
ChatGPT is a language model based on Generative AI. Existing research work on ChatGPT focused on its use in various domains. However, its potential for Sign Language Translation (S…
Metaverse: A Vision, Architectural Elements, and Future Directions for Scalable and Realtime Virtual Worlds
Leila Ismail, Rajkumar Buyya
With the emergence of Cloud computing, Internet of Things-enabled Human-Computer Interfaces, Generative Artificial Intelligence, and high-accurate Machine and Deep-learning recogni…
From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation
Leila Ismail, Huned Materwala
Stroke is the second leading cause of death worldwide. Machine learning classification algorithms have been widely adopted for stroke prediction. However, these algorithms were eva…
Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation
Leila Ismail, Muhammad Danish Waseem
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. Pain-level screening…
Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning
Leila Ismail, Huned Materwala, Alain Hennebelle
COVID-19 has infected more than 68 million people worldwide since it was first detected about a year ago. Machine learning time series models have been implemented to forecast COVI…