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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.
Hubert, C. J., Odic, N., Noel, M., Gharib, S., Zargarbashi, S. H. H., & Séoud, L. (2025). MuViH: Multi-View Hand gesture dataset and recognition pipeline for human–robot interaction in a collaborative robotic finishing platform. Robotics and Computer-Integrated Manufacturing, 94, 102957-102957. External link
Zargarbashi, S. H. H., & Mayer, J. R. R. (2009). Single setup estimation of a five-axis machine tool eight link errors by programmed end point constraint and on the fly measurement with Capball sensor. International Journal of Machine Tools and Manufacture, 49(10), 759-766. External link
Zargarbashi, S. H. H., & Mayer, J. R. R. (2008, May). Simulation of XYC trajectory in five-axis machine tool and the Jacobian-based error estimation [Paper]. 19th IASTED International Conference on Modelling and Simulation, Québec, QC, Canada. External link
Zargarbashi, S. H. H., & Mayer, J. R. R. (2007, June). A predictive maintenance method for rotary axes of five-axis machine tools [Paper]. CANCAM 2007, Toronto, Ontario. Unavailable
Zargarbashi, S. H. H., & Mayer, J. R. R. (2006). Assessment of Machine Tool Trunnion Axis Motion Error, Using Magnetic Double Ball Bar. International Journal of Machine Tools and Manufacture, 46(14), 1823-1834. External link
Zargarbashi, S. H. H., & Mayer, J. R. R. (2005). A Model Based Method for Centering Double Ball Bar Test Results Preventing Fictitious Ovalization Effects. International Journal of Machine Tools and Manufacture, 45(10), 1132-1139. External link