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Unsupervised learning segmentation for dynamic speckle activity images., , , , , , and . CoRR, (2014)Rough-Fuzzy Granularity in the Study of Optical Phenomena., and . FLinAI@IJCAI, volume 1424 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)A study about dimensional change of industrial parts using fuzzy rules.. Fuzzy Sets Syst., 139 (1): 227-237 (2003)Automatic Design of Binary W-Operators Using Artificial Feed-Forward Neural Networks Based on the Weighted Mean Square Error Cost Function., , , , , and . CIARP, volume 7441 of Lecture Notes in Computer Science, page 495-502. Springer, (2012)Improvements in the Visualization of Segmented Areas of Patterns of Dynamic Laser Speckle., , , , , , , and . WSOM, volume 198 of Advances in Intelligent Systems and Computing, page 163-171. Springer, (2012)Evaluation of laser dynamic speckle signals applying granular computing., , and . Signal Process., 89 (3): 266-274 (2009)Real-time speckle image processing., , , , , , and . J. Real Time Image Process., 11 (3): 535-545 (2016)Signal Feature Extraction Using Granular Computing. Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns., , , , and . Int. J. Comput. Intell. Syst., 8 (sup2): 28-40 (2015)