Saidul Islam

According to our database, Saidul Islam authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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, Hadi Otrok, Shakti Singh, Azzam Mourad

Artif. Intell. Rev., September, 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., August, 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

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

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 Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR.

Saidul Islam, Jamal Bentahar, Robin Cohen, Gaith Rjoub

CoRR, 2024

Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology.

Gaith Rjoub, Saidul Islam, Jamal Bentahar, Mohammed Amin Almaiah, Rana Al-Rawashdeh

Proceedings of the International Wireless Communications and Mobile Computing, 2024