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Collaboration networkThis 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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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.
Hosseini-Hashemi, S., Sepahi-Boroujeni, A., & Sepahi-Boroujeni, S. (2018). Analytical and molecular dynamics studies on the impact loading of single-layered graphene sheet by fullerene. Applied Surface Science, 437, 366-374. External link
Sepahi-Boroujeni, S., & Khameneifar, F. (2024). Digital twin-enabled error and uncertainty mapping for 3D scanning. Precision Engineering, 88, 527-539. External link
Sepahi-Boroujeni, S., Mayer, J. R. R., & Khameneifar, F. (2020, July). Prompt uncertainty estimation with GUM framework for on-machine tool coordinate metrology [Paper]. 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME 2021), Gulf of Naples, Italy. Published in Procedia CIRP, 112. Available
Sepahi-Boroujeni, S., Mayer, J. R. R., & Khameneifar, F. (2021). Efficient uncertainty estimation of indirectly measured geometric errors of five-axis machine tools via Monte-Carlo validated GUM framework. Precision Engineering, 67, 160-171. External link
Sepahi-Boroujeni, S., Mayer, J. R. R., Khameneifar, F., & Woźniak, A. (2021). A full-covariance uncertainty assessment in on-machine probing. International Journal of Machine Tools and Manufacture, 167, 12 pages. External link
Sepahi-Boroujeni, A., Hosseini-Hashemi, S., & Sepahi-Boroujeni, S. (2020). Effects of surface tension of graphene sheet on impact and rebound behavior of colliding nanoparticle. Superlattices and Microstructures, 140, 106464 (11 pages). External link
Sepahi-Boroujeni, S., Mayer, J. R. R., & Khameneifar, F. (2020). Repeatability of on-machine probing by a five-axis machine tool. International Journal of Machine Tools and Manufacture, 152, 19 pages. External link
