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Word cloudA 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.
Ayari, R., Hafnaoui, I., Beltrame, G., & Nicolescu, G. (2018). ImGA: an improved genetic algorithm for partitioned scheduling on heterogeneous multi-core systems. Design Automation for Embedded Systems, 22(1-2), 183-197. External link
Ayari, R., Hafnaoui, I., Aguiar, A., Gilbert, P., Galibois, M., Rousseau, J.-P., Beltrame, G., & Nicolescu, G. (2018). Multi-objective mapping of full-mission simulators on heterogeneous distributed multi-processor systems. Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 15(4), 449-460. External link
Ayari, R., Nikdast, M., Hafnaoui, I., Beltrame, G., & Nicolescu, G. (2017). HypAp: a Hypervolume-Based Approach for Refining the Design of Embedded Systems. IEEE Embedded Systems Letters, 9(3), 57-60. External link
Ayari, R., Hafnaoui, I., Beltrame, G., & Nicolescu, G. (2016, October). Schedulability-guided exploration of multi-core systems [Paper]. 27th International Symposium on Rapid System Prototyping: Shortening the Path from Specification to Prototype (RSP 2016), Pittsburgh, PA, United States. External link
Becker, R., Hafnaoui, I., Houle, M. E., Li, P., & Zimek, A. (2019, October). Subspace Determination Through Local Intrinsic Dimensional Decomposition [Paper]. 12th International Conference on Similarity Search and Applications (ISAP 2019), Newak, New Jersey. External link
Chao, C., Panerati, J., Hafnaoui, I., & Beltrame, G. (2017, June). Static probabilistic timing analysis with a permanent fault detection mechanism [Paper]. 12th IEEE International Symposium on Industrial Embedded Systems (SIES 2017), Toulouse, France (10 pages). External link
Hafnaoui, I., Nicolescu, G., & Beltrame, G. (2019). Timing information propagation in interactive networks. Scientific Reports, 9(1), 4442 (14 pages). Available
Hafnaoui, I. (2018). Handling Information and its Propagation to Engineer Complex Embedded Systems [Ph.D. thesis, École Polytechnique de Montréal]. Available
Hafnaoui, I., Ayari, R., Nicolescu, G., & Beltrame, G. (2017). Scheduling real-time systems with cyclic dependence using data criticality. Design Automation for Embedded Systems, 21(2), 117-136. Available
Hafnaoui, I., Chen, C., Ayari, R., Nicolescu, G., & Beltrame, G. (2017, October). An analysis of random cache effects on real-time multi-core scheduling algorithms [Paper]. 28th International Symposium on Rapid System Prototyping: Shortening the Path from Specification to Prototype (RSP 2017), Seoul, South Korea. External link
Hafnaoui, I., Ayari, R., Nicolescu, G., & Beltrame, G. (2016, July). A simulation-based model generator for software performance estimation [Paper]. 48th Summer Computer Simulation Conference (SCSC 2016), Montréal, Québec. Unavailable
