Items where Author is "Taïk, Afaf"
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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Abouaomar, A., Filali, A., Taïk, A., & Cherkaoui, S. (2024). Machine Learning Applications in CR-IoV. In Bukhari, S. H. R., Rehan, M. M., & Rehmani, M. H. (eds.), Cognitive Radio-based Internet of Vehicles (pp. 21-49). External link
Abouaomar, A., Taïk, A., Filali, A., & Cherkaoui, S. (2023). Federated Deep Reinforcement Learning for Open RAN Slicing in 6G Networks. IEEE Communications Magazine, 61(2), 126-132. External link
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Taïk, A., Mlika, Z., & Cherkaoui, S. (2022). Clustered Vehicular Federated Learning: Process and Optimization. IEEE Transactions on Intelligent Transportation Systems, 23(12), 25371-25383. External link
Taïk, A., Mlika, Z., & Cherkaoui, S. (2022). Data-Aware Device Scheduling for Federated Edge Learning. IEEE Transactions on Cognitive Communications and Networking, 8(1), 408-421. External link
Taïk, A., Moudoud, H., & Cherkaoui, S. (2021, October). Data-Quality Based Scheduling for Federated Edge Learning [Paper]. 46th IEEE Conference on Local Computer Networks (LCN 2021), Edmonton, AB, Canada (7 pages). External link
Taïk, A., Nour, B., & Cherkaoui, S. (2021). Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning. IEEE Wireless Communications, 28(6), 26-33. External link
Taïk, A., & Cherkaoui, S. (2020, June). Electrical Load Forecasting Using Edge Computing and Federated Learning [Paper]. IEEE International Conference on Communications (ICC 2021), Dublin, Ireland (6 pages). External link