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Model Predictive Control for Resonant Power Converters Applied to Induction Heating., , , and . ISIE, page 246-251. IEEE, (2018)Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool., , , , and . IEEE Trans. Industrial Informatics, 14 (1): 137-145 (2018)Improved Multi-Load Resonant Power Conversion Using Model Predictive Control., , , and . IECON, page 5075-5080. IEEE, (2019)Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances., , , , and . IEEE Access, (2019)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 Processing, 89 (3): 266-274 (2009)Unsupervised learning segmentation for dynamic speckle activity images., , , , , , and . CoRR, (2014)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)Real-time speckle image processing., , , , , , and . J. Real-Time Image Processing, 11 (3): 535-545 (2016)Rough-Fuzzy Granularity in the Study of Optical Phenomena., and . FLinAI@IJCAI, volume 1424 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)