Autori: Hammad Mohamed
| Naslov | Cancelable Multi-Branch Deep Learning Framework for Privacy-Preserving ECG Biometric Authentication (Article) |
| Autori | Hammad Mohamed Alqahtani Ali Abdullah S Elaffendi Mohammed Ateya Abdelhamied A Bacanin Nebojsa |
| Info | IEEE ACCESS, (2025), vol. 13 br. , str. 119090-119109 |
| Projekat | Prince Sultan University |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction (Article) |
| Autori | Villoth John Philipose Zivkovic Miodrag Z Zivkovic Tamara Abdel Salam Mahmoud Hammad Mohamed Jovanovic Luka Z Simic Vladimir D Bacanin Nebojsa |
| Info | NEUROCOMPUTING, (2025), vol. 630 br. , str. - |
| Projekat | Science Fund of the Republic of Serbia [7373, 7502]; Intelligent Multi-Agent Control and Optimization applied to Green Buildings and Environmental Monitoring Drone Swarms (ECOSwarm) |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
