most citedForecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning

5 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20234 cited

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…

cs.LG20235 cited

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…

cs.CR20232 cited

An Adaptive Decision-Making Approach for Better Selection of a Blockchain Platform for Health Insurance Frauds Detection with Smart Contracts: Development and Performance Evaluation

Rima Kaafarani, Leila Ismail, Oussama Zahwe

Blockchain technology has piqued the interest of businesses of all types, while consistently improving and adapting to developers and business owners requirements. Therefore, sever…

cs.DC20231 cited

Quality of Service (QoS)-driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements, and Future Directions

Rajkumar Buyya, Satish N. Srirama, Redowan Mahmud +3

The Internet of Things (IoT) paradigm is drastically changing our world by making everyday objects an integral part of the Internet. This transformation is increasingly being adopt…

cs.NI20221 cited

QoS-SLA-Aware Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing in Internet of Vehicles

Leila Ismail, Huned Materwala, Hossam S. Hassanein

The Internet of Vehicles over Vehicular Ad-hoc Networks is an emerging technology enabling the development of smart city applications focused on improving traffic safety, traffic e…