Fingerprint
Dive into the research topics where Imad Barhumi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Cluster Free Downlink Miso Noma System: Drl Approach
Rabee, A. & Barhumi, I., 2025, Proceedings - 2025 5th Asia Conference on Information Engineering, ACIE 2025. Institute of Electrical and Electronics Engineers Inc., p. 177-182 6 p. (Proceedings - 2025 5th Asia Conference on Information Engineering, ACIE 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Toward Energy-Efficient Dynamic Resource Allocation in Uplink NOMA Systems: Deep Reinforcement Learning for Single and Multi-Cell NOMA Systems
Rabee, A. & Barhumi, I., 2025, In: IEEE Transactions on Vehicular Technology. 74, 6, p. 9313-9327 15 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus) -
Unrolled deep learning for breast cancer detection using limited-view photoacoustic tomography data
John, M. & Barhumi, I., Jun 2025, In: Medical and Biological Engineering and Computing. 63, 6, p. 1777-1795 19 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus) -
Energy Efficient Resource Allocation Approach for Uplink NOMA Multi-Cell Systems Based on Multi-Agent DRL
Rabee, A. & Barhumi, I., 2024, 2024 IEEE Wireless Communications and Networking Conference, WCNC 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE Wireless Communications and Networking Conference, WCNC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Link opens in a new tab Citations (Scopus) -
Handling Missing Data in Limited-View Photoacoustic Tomography Using Compressive Sensing Algorithm-Based Deep Learning
John, M. & Barhumi, I., 2024, APSIPA ASC 2024 - Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2024. Institute of Electrical and Electronics Engineers Inc., (APSIPA ASC 2024 - Asia Pacific Signal and Information Processing Association Annual Summit and Conference 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Citation (Scopus)