Items where Author is "Mohamed, Otmane Ait"
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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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Ammar, M., Bany Hamad, G., Mohamed, O. A., & Savaria, Y. (2019). Towards an Accurate Probabilistic Modeling and Statistical Analysis of Temporal Faults via Temporal Dynamic Fault-trees (TDFTs). IEEE Access, 7, 29264-29276. External link
Ammar, M., Bany Hamad, G., Mohamed, O. A., & Savaria, Y. (2017). System-Level Analysis of the Vulnerability of Processors Exposed to Single Event Upsets via Probabilistic Model Checking. IEEE Transactions on Nuclear Science, 64(9), 2523-2530. External link
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Bany Hamad, G., Mohamed, O. A., & Savaria, Y. (2015, July). Efficient Multilevel Formal Analysis and Estimation of Design Vulnerability to Single Event Transients [Paper]. 21st International On-Line Testing Symposium (IOLTS 2015), Athena Pallas, Greece (6 pages). External link
Bany Hamad, G., Hasan, S. R., Mohamed, O. A., & Savaria, Y. (2014). New insights into the single event transient propagation through static and TSPC logic. IEEE Transactions on Nuclear Science, 61(4), 1618-1627. External link
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Kazma, G., Bany Hamad, G., Mohamed, O. A., & Savaria, Y. (2016, December). Investigating the efficiency and accuracy of a data type reduction technique for soft error analysis [Paper]. IEEE International Conference on Electronics, Circuits and Systems (ICECS 2016), Monte Carlo, Monaco. External link
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Trabelsi, A., Mohamed, O. A., & Audet, Y. (2015). Robust parametric modeling of speech in additive white Gaussian noise. Journal of Signal and Information Processing, 6(2), 99-108. Available