Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology. - Gaith Rjoub; Saidul Islam; Jamal Bentahar; Mohammed Amin Almaiah; Rana Al-Rawashdeh (IWCMC, 2024)

A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR. - Saidul Islam; Jamal Bentahar; Robin Cohen; Gaith Rjoub (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)

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)

A multi-modal unsupervised machine learning approach for biomedical signal processing during cardiopulmonary resuscitation. - Saidul Islam; Jamal Bentahar; Robin Cohen; Gaith Rjoub (Inf. Sci., 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)