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ORCIDMuhammad Anjum Qureshi
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- affiliation: Bilkent University, Ankara, Turkey
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2020 – today
- 2023
[j5]Muhammad Anjum Qureshi
, Eva Lagunas, Georges Kaddoum:
Reinforcement Learning for Link Adaptation and Channel Selection in LEO Satellite Cognitive Communications. IEEE Commun. Lett. 27(3): 951-955 (2023)- 2021
- [j4]Muhammad Anjum Qureshi, Andi Nika, Cem Tekin:
Multi-User Small Base Station Association via Contextual Combinatorial Volatile Bandits. IEEE Trans. Commun. 69(6): 3726-3740 (2021) - [j3]Alireza Javanmardi, Muhammad Anjum Qureshi, Cem Tekin:
Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum. IEEE Trans. Commun. 69(6): 3787-3801 (2021) - [c7]Muhammad Anjum Qureshi:
Prediction, Classification and Recommendation in e-Health via Contextual Partitioning. SIU 2021: 1-4 - 2020
- [j2]Muhammad Anjum Qureshi, Cem Tekin:
Rate and Channel Adaptation in Cognitive Radio Networks Under Time-Varying Constraints. IEEE Commun. Lett. 24(12): 2979-2983 (2020) - [j1]Muhammad Anjum Qureshi, Cem Tekin:
Fast Learning for Dynamic Resource Allocation in AI-Enabled Radio Networks. IEEE Trans. Cogn. Commun. Netw. 6(1): 95-110 (2020) - [c6]Muhammad Anjum Qureshi, Cem Tekin:
Online Bayesian Learning for Rate Selection in Millimeter Wave Cognitive Radio Networks. INFOCOM 2020: 1449-1458 - [c5]Muhammad Anjum Qureshi:
Dynamic Rate Allocation in Cognitive Radio Networks using Global Bandits. SIU 2020: 1-4
2010 – 2019
- 2018
- [c4]Muhammad Anjum Qureshi, Wardah Sarmad, Hira Noor, Ali Hassan Mirza:
Online optimization of wireless sensors selection over an unknown stochastic environment. SIU 2018: 1-4 - [c3]Muhammad Anjum Qureshi, Cem Tekin:
Online cross-layer learning in heterogeneous cognitive radio networks without CSI. SIU 2018: 1-4 - 2017
- [c2]Kubilay Eksioglu, Muhammad Anjum Qureshi, Cem Tekin:
Online classification with contextual exponential weights for disease diagnostics. SIU 2017: 1-4 - [c1]Muhammad Anjum Qureshi, Kubilay Eksioglu:
Expert advice ensemble for thyroid disease diagnosis. SIU 2017: 1-4
Coauthor Index
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