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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.
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Achiche, S., & Woźniak, A. (2012). Three-dimensional modeling of coordinate measuring machines probing accuracy and settings using fuzzy knowledge bases: Application to TP6 and TP200 triggering probes. Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM), 26(4), 425-441. External link
Achiche, S., Woźniak, A., Fan, Z., Balazinski, M., Baron, L., & Sørensen, T. (2008, May). 3D CMM strain-gauge triggering probe error characteristics modeling using fuzzy logic [Paper]. Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2008), New York City, NY, United states. External link
Achiche, S., Woźniak, A., Balazinski, M., & Baron, L. (2006, June). Fuzzy rule base influence on genetic-fuzzy reconstruction of CMM 3D triggering probe error characteristic [Paper]. 2004 annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2006), Montréal, Québec. External link
Erkan, T., Mayer, J. R. R., & Woźniak, A. (2011). Surface probing simulator for the evaluation of CMM probe radius correction software. International Journal of Advanced Manufacturing Technology, 55(1-4), 307-315. External link
Jankowski, M., Woźniak, A., & Mayer, J. R. R. (2018, December). On-machine and In-laboratory Investigation of Errors of Probes for CNC Machine Tools [Paper]. International Conference on Advances in Engineering Research and Application (ICERA 2018), Thai Nguyen, Vietnam. External link
Rak, M., & Woźniak, A. (2015, September). Systematic errors of measurements on a measuring arm equipped with a laser scanner on the results of optical measurements [Paper]. 11th International Conference on Mechatronics, Warsaw, Poland. External link
Rak, M. B., Woźniak, A., & Mayer, J. R. R. (2016). The use of low density high accuracy (LDHA) data for correction of high density low accuracy (HDLA) point cloud. Optics and Lasers in Engineering, 81, 140-150. External link
Rak, M. B., Mayer, J. R. R., & Woźniak, A. (2015). Proximity weighted correction of high density high uncertainty (HDHU) point cloud using low density low uncertainty (LDLU) reference point coordinates. Optics and Lasers in Engineering, 68, 160-165. 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
Woźniak, A., & Mayer, J. R. R. (2015). Discontinuity check of scanning in coordinate metrology. Measurement: Journal of the International Measurement Confederation, 59, 284-289. External link
Woźniak, A., & Mayer, J. R. R. (2012). A Robust Method for Probe Tip Radius Correction in Coordinate Metrology. Measurement Science & Technology, 23(2), 8 pages. External link
Woźniak, A., Mayer, J. R. R., & Balazinski, M. (2009). Stylus tip envelop method: Corrected measured point determination in high definition coordinate metrology. International Journal of Advanced Manufacturing Technology, 42(5-6), 505-514. External link
Woźniak, A., Balazinski, M., & Mayer, J. R. R. (2007, June). Application of fuzzy knowledge base for corrected measured point determination in coordinate metrology [Paper]. Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2007), San Diego, CA, United States. External link
Woźniak, A., & Mayer, J. R. R. (2007, September). Micro-features measurement using meso-volume CMM [Paper]. 7th International Symposium on Mechatronics, Warsaw, Poland. External link
