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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.
Groleau, G., Tanguay-Rioux, F., Spreutels, L., Héroux, M., & Legros, R. (2019). Development of a MSW gasification model for flexible integration into a MFA-LCA framework. Detritus, 7, 44-54. Available
Gazil, O., Gosselin, M., Tanguay-Rioux, F., Farand, P., & Tavares, J. R. (2019). Simulating dynamically: A longitudinal and practical simulation approach for students. Computer Applications in Engineering Education, 27(6), 1531-1543. External link
Majeau-Bettez, G., Spreutels, L., Tanguay-Rioux, F., Viau, S., Samson, R., & Legros, R. (2018, June). Toward a parametrized and modular framework based on the integration of MFA and LCA for optimization of municipal solid wastes management [Paper]. 2nd Conference on Life Cycle Assessment of waste - Integrated Residual Resource Management and Assessment, Copenhagen. Unavailable
Tanguay-Rioux, F., Provost-Savard, A., Spreutels, L., Héroux, M., & Legros, R. (2022). A method for assessing the performance of sorting unit operations in a material recovery facility based on waste characterizations. Canadian Journal of Chemical Engineering, 100(9), 2572-2586. External link
Tanguay-Rioux, F., Spreutels, L., Héroux, M., & Legros, R. (2022). Mixed modeling approach for mechanical sorting processes based on physical properties of municipal solid waste. Waste Management, 144, 533-542. External link
Tanguay-Rioux, F. (2021). Développement d'une approche de modélisation mixte pour la représentation du traitement mécano-biologique [Ph.D. thesis, Polytechnique Montréal]. Available
Tanguay-Rioux, F., Legros, R., & Spreutels, L. (2021). On the limits of empirical partition coefficients for modeling material recovery facility unit operations in municipal solid waste management. Journal of Cleaner Production, 293, 126016 (13 pages). External link
Tanguay-Rioux, F., Héroux, M., & Legros, R. (2021). Physical properties of recyclable materials and implications for resource recovery. Waste Management, 136, 195-203. External link
Tanguay-Rioux, F., Legros, R., & Spreutels, L. (2020). Particle size analysis of municipal solid waste for treatment process modeling. Waste Management and Research, 38(7), 783-791. External link
Tanguay-Rioux, F., Spreutels, L., & Legros, R. (2019, October). Integration of MSW Physical Properties into Mechanical-Biological Treatment (MBT) Modeling [Abstract]. 69th Canadian Chemical Engineering Conference (CSChE Conferences 2019), Halifax, NS, CA. External link