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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.
Parent, A., Ballaz, L., Samadi, B., Vocos, M., Comtois, A. S., & Pouliot-Laforte, A. (2022). Static Postural Control Deficits in Adults with Myotonic Dystrophy Type 1, Steinert Disease. Journal of Neuromuscular Diseases, 9(2), 311-320. External link
Samadi, B., Raison, M., Mahaudens, P., Detrembleur, C., & Achiche, S. (2023). Development of machine learning algorithms to identify the Cobb angle in adolescents with idiopathic scoliosis based on lumbosacral joint efforts during gait (case study). Electronic & Electrical Engineering Research Studies. Pattern Recognition and Image Processing Series, 1(1), 30 pages. Unavailable
Samadi, B., Raison, M., Mahaudens, P., Detrembleur, C., & Achiche, S. (2023). A preliminary study in classification of the severity of spine deformation in adolescents with lumbar/thoracolumbar idiopathic scoliosis using machine learning algorithms based on lumbosacral joint efforts during gait. Computer Methods in Biomechanics and Biomedical Engineering, 26(11), 1341-1352. External link
Samadi, B. (2020). Identifying the Severity of Adolescent Idiopathic Scoliosis During Gait by Using Machine Learning [Ph.D. thesis, Polytechnique Montréal]. Available
Samadi, B., Raison, M., Ballaz, L., & Achiche, S. (2017). Decomposition of three-dimensional ground-reaction forces under both feet during gait. Journal of Musculoskeletal & Neuronal Interactions, 17(4), 283-291. External link
Samadi, B. (2016). Three-Dimensional Decomposition of Ground-Reaction Forces Under Both Feet During Gait Using Parametric Curve Modeling [Master's thesis, École Polytechnique de Montréal]. Available
Samadi, B., Achiche, S., & Raison, M. (2015, June). Benchmark of the upper limb in 3D to analyze internal effort quantification and realistic movement reproduction [Paper]. ECCOMAS Thematic Conference on Multibody Dynamics, Barcelona, Catalonia, Spain. Unavailable
