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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.
Parrenin, L. (2024). Développement d'outils d'aide à la décision visant l'ajustement des paramètres contrôlables dans la production agroalimentaire : cas d'étude des minoteries biologiques [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Parrenin, L., Lorbieski, R., Jaraceski, J. C., Danjou, C., & Agard, B. (2023, November). A Decision Support Tool to Analyze Food Properties from Near Infrared Spectroscopy* [Paper]. 15th IEEE International Conference on Industry Applications (INDUSCON 2023), Sao Bernardo do Campo, Brazil. External link
Parrenin, L., Agard, B., & Danjou, C. (2022, June). Predicting the moisture content of organic wheat at the end of the first tempering stage [Poster]. Forum 5.0, Quebec, Qc, Canada. Unavailable
Parrenin, L., Danjou, C., Agard, B., & Beauchemin, R. (2022, July). Predicting the moisture content of organic wheat at the end of the first tempering stage [Poster]. 20th ICC Conference 2022 (ICC 2022), Vienna, Austria. Unavailable
Parrenin, L., Danjou, C., Agard, B., & Beauchemin, R. (2022, June). Predicting the moisture content of organic wheat in the first stage of tempering [Paper]. 10th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2022), Nantes, France. Published in IFAC PapersOnLine, 55(10). External link
Parrenin, L., Danjou, C., & Agard, B. (2021, May). Prédiction de la qualité de la farine après mouture [Paper]. Congrès international de génie industriel (CIGI Qualita 2021), Grenoble, France. Unavailable
Parrenin, L., Danjou, C., & Agard, B. (2020, November). Development of a tool for tracking organic wheatgrain movements at the supply chain level [Paper]. 13th International Conference on Modeling, Optimization and Simulation (MOSIM 2020), Agadir, Maroc. External link
