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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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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.
Mohamed, M. G., & Saunier, N. (2015). Behavior Analysis Using a Multilevel Motion Pattern Learning Framework. Transportation Research Record, 2528(1), 116-127. External link
Mohamed, M. G., & Saunier, N. (2015, January). Behaviour analysis using a multi-level motion pattern learning framework [Paper]. 94th Annual Meeting of the Transportation Research Board, Washington, D.C.. Unavailable
Saunier, N., & Mohamed, M. G. (2014, January). Clustering surrogate safety indicators to understand collision processes [Paper]. 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.. External link
Mohamed, M. G., & Saunier, N. (2013, May). Classifying profiles of surrogate safety measures to understand collision processes [Paper]. 23rd Canadian Multidisciplinary Road Safety Conference, Montréal, Québec. External link
Mohamed, M. G., & Saunier, N. (2013, May). The influence of motion prediction methods on surrogate safety measures [Paper]. Annual Conference of the Canadian Society for Civil Engineering 2013: Know-How - Savoir-Faire (CSCE 2013), Montréal, Québec. External link
Mohamed, M. G., & Saunier, N. (2014, January). Motion prediction methods for surrogate safety analysis [Paper]. 92nd Annual Meeting of the Transportation Research Board, Washington, D.C.. Unavailable