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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.
De la Torre, L. (2022). Simulation of the Vibratory Peening Process [Master's thesis, Polytechnique Montréal]. Available
De la Torre, L., Miao, H., Changeux, B., Badreddine, J., Turenne, S., & Lévesque, M. (2022, September). Discrete elements method simulation of the movement of media and the velocity between the media and treated parts during the vibratory peening process [Paper]. 14th International Conference of Shot Peening (ICSP 2022), Milan, Italy (6 pages). External link
Paques, M., Chouchane, K., Changeux, B., De la Torre, L., Badreddine, J., Miao, H., Lévesque, M., Turenne, S., & Martin, É. (2022, September). Control of the vibratory peening machine using the Almen intensity procedure [Paper]. 14th International Conference of Shot Peening (ICSP 2022), Milan, Italy. External link
