"Ouameur, M. A."

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Nombre de documents archivés : 8.

Gouaouri, M. D. E., Ouahouah, S., Bagaa, M., Ouameur, M. A. et Ksentini, A. (2025). A multi-objective framework for power-aware scheduling in kubernetes. IEEE Transactions on Network and Service Management . DOI 10.1109/TNSM.2025.3630045

Gouaouri, M. D. E., Bagaa, M., Bekkouche, O., Ouameur, M. A. et Ksentini, A. (2025). A reinforcement learning approach for multi-edge task offloading through bi-level optimization. Dans 2025 International Wireless Communications and Mobile Computing (IWCMC) DOI 10.1109/IWCMC65282.2025.11059480.

Gouaouri, M. D. E., Bagaa, M., Ouahouah, S., Ouameur, M. A. et Ksentini, A. (2025). Enabling power-awareness for kubernetes scheduling through multi-criteria optimization. Dans IEEE International Conference on Communications DOI 10.1109/ICC52391.2025.11160865.

Bidabadi, S., Ouameur, M. A., Bagaa, M., Massicotte, D., Figueiredo, F. D. et Chaaban, A. (2025). Physically-consistent EM models-aware RIS-aided communication — A survey. Computer Networks, 257 . p. 110963. ISSN 1389-1286 DOI 10.1016/j.comnet.2024.110963

Fall, T., Massicotte, D., Dessureault, J. S. et Ouameur, M. A. (2025). Urban Intersection Safety Risk Index: Machine Learning Methods for Real-Time Classification. Dans 2025 25th International Conference on Digital Signal Processing (DSP) DOI 10.1109/DSP65409.2025.11075008.

Kulkarni, A., Ouameur, M. A. et Massicotte, D. (2024). Energy efficient wireless signal detection: A revisit through the lens of approximate computing. Electronics, 13 (7). p. 1274. ISSN 2079-9292 DOI 10.3390/electronics13071274

Bidabadi, S., Ouameur, M. A., Bagaa, M. et Massicotte, D. (2024). Energy-efficient RIS-enabled SISO-OFDMA communication via lower bound optimization. Electronics, 13 (6). p. 1040. ISSN 2079-9292 DOI 10.3390/electronics13061040

Kulkarni, A., Ouameur, M. A. et Massicotte, D. (2024). Logic cloning based approximate signed multiplication circuits for FPGA. Microelectronics Journal, 145 . p. 106135. ISSN 1879-2391 DOI 10.1016/j.mejo.2024.106135

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