collaborators

6 papers

cs.CV2025

End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning

Hanae Elmekki, Amanda Spilkin, Ehsan Zakeri +11

Cardiac ultrasound (US) is among the most widely used diagnostic tools in cardiology for assessing heart health, but its effectiveness is limited by operator dependence, time const…

eess.IV2025

Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging

Hanae Elmekki, Saidul Islam, Ahmed Alagha +12

Medical Ultrasound (US) imaging has seen increasing demands over the past years, becoming one of the most preferred imaging modalities in clinical practice due to its affordability…

cs.CV2025

CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning

Hanae Elmekki, Ahmed Alagha, Hani Sami +11

Cardiac ultrasound (US) scanning is a commonly used techniques in cardiology to diagnose the health of the heart and its proper functioning. Therefore, it is necessary to consider…

cs.NE2025

A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments

Gaith Rjouba, Hanae Elmekki, Saidul Islam +2

The combination of Federated Learning (FL), Multimodal Large Language Models (MLLMs), and edge-cloud computing enables distributed and real-time data processing while preserving pr…

cs.NI2024

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions

Gordon Owusu Boateng, Hani Sami, Ahmed Alagha +10

The rapid evolution of communication networks in recent decades has intensified the need for advanced Network and Service Management (NSM) strategies to address the growing demands…

cs.LG2024

Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques

Saidul Islam, Gaith Rjoub, Hanae Elmekki +3

This survey paper explores the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) in Cardiopulmonary Resuscitation (CPR). It examines the evolution from…