Open Government Data: Towards a comparison of Data Lifecycle models. - Hanae Elmekki; Dalila Chiadmi; Hind Lamharhar (ArabWIC, 2019)

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; Hanae Elmekki; Ahmad Hammoud; Rabeb Mizouni; Azzam Mourad; Hadi Otrok; Jamal Bentahar; Sami Muhaidat; Chamseddine Talhi; Zbigniew Dziong; et al. (CoRR, 2024)

A comprehensive survey on applications of transformers for deep learning tasks. - Saidul Islam; Hanae Elmekki; Ahmed Elsebai; Jamal Bentahar; Nagat Drawel; Gaith Rjoub; Witold Pedrycz (Expert Syst. Appl., 2024)

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; Amanda Spilkin; Antonela Zanuttini; Ehsan Zakeri; Jamal Bentahar; Lyes Kadem; Wen-Fang Xie; Philippe Pibarot; Rabeb Mizouni; Hadi Otrok; et al. (Comput. Biol. Medicine, 2025)

A hybrid swarm intelligence approach for optimizing Multimodal Large Language Models deployment in edge-cloud-based Federated Learning environments. - Gaith Rjoub; Hanae Elmekki; Saidul Islam; Jamal Bentahar; Rachida Dssouli (Comput. Commun., 2025)

Enhanced Dynamic Deep Q-Network for Federated Learning scheduling policies on IoT devices using explanation-driven trust. - Gaith Rjoub; Hanae Elmekki; Jamal Bentahar; Witold Pedrycz; Sofian Kassaymeh; Shahed Bassam Almobydeen; Rachida Dssouli (Knowl. Based Syst., 2025)

AI-Powered Robust Interaction Force Control of a Cardiac Ultrasound Robotic System. - Ehsan Zakeri; Amanda Spilkin; Hanae Elmekki; Antonela Zanuttini; Lyes Kadem; Jamal Bentahar; Wen-Fang Xie; Philippe Pibarot (IEEE Trans. Ind. Electron., 2025)

Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques. - Saidul Islam; Gaith Rjoub; Hanae Elmekki; Jamal Bentahar; Witold Pedrycz; Robin Cohen (Artif. Intell. Rev., 2025)

Comprehensive review of reinforcement learning for medical ultrasound imaging. - Hanae Elmekki; Saidul Islam; Ahmed Alagha; Hani Sami; Amanda Spilkin; Ehsan Zakeri; Antonela Mariel Zanuttini; Jamal Bentahar; Lyes Kadem; Wen-Fang Xie; Philippe Pibarot; Rabeb Mizouni; et al. (Artif. Intell. Rev., 2025)