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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
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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.
Alizadeh, R., Savaria, Y., & Nerguizian, C. (2024). Characterization and selection of WiFi channel state information features for human activity detection in a smart public transportation system. IEEE Open Journal of Intelligent Transportation Systems, 5, 55-69. Available
Alizadeh, R., Savaria, Y., & Nerguizian, C. (2023, December). Enabling Human Activity Recognition in Smart Public Transportation Systems in Presence of Dataset Imbalance [Paper]. 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2023), Istanbul, Turkey (5 pages). External link
Alizadeh, R., Savaria, Y., & Nerguizian, C. (2022, October). Automatic Detection of People Getting Into a Bus in a SMART Public Transportation System [Paper]. 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2022), Glasgow, Scotland. External link
Alizadeh, R., Savaria, Y., & Nerguizian, C. (2021, October). Human Activity Recognition and People Count for a SMART Public Transportation System [Paper]. 4th IEEE 5G World Forum (5GWF 2021), Montreal, Québec. External link
Alizadeh, R., & Savaria, Y. (2016, December). Performance analysis of a reduced complexity SCMA decoder exploiting a low-complexity maximum-likelihood approximation [Paper]. 23rd IEEE International Conference on Electronics Circuits and Systems (ICECS 2016), Monte Carlo, Monaco. External link
Alizadeh, R., Bélanger, N., Savaria, Y., & Boyer, F.-R. (2016, June). Performance characterization of an SCMA decoder [Paper]. 14th IEEE International New Circuits and Systems Conference (NEWCAS 2016), Vancouver, Canada (4 pages). External link
Alizadeh, R., Bélanger, N., Savaria, Y., & Frigon, J.-F. (2015, June). DPDK and MKL; enabling technologies for near deterministic cloud-based signal processing [Paper]. 13th IEEE International New Circuits and Systems Conference (NEWCAS 2015), Grenoble, France (4 pages). External link
Alizadeh, R. (2015). Near Deterministic Signal Processing Using GPU, DPDK, and MKL [Master's thesis, École Polytechnique de Montréal]. Available
Alizadeh, R. (2023). User Activity Detection and Feature Selection Using WiFi CSI-Based Datasets [Ph.D. thesis, Polytechnique Montréal]. Available
