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To what extent could we detect field defects? An extended empirical study of false negatives in static bug-finding tools.

, , , , , and . Autom. Softw. Eng., 22 (4): 561-602 (2015)

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Projeto Pedagógico do Curso de Tecnólogo de Polímeros da UEZO, , , , , , , , , and 30 other author(s). (2010)Improved Multi-Load Resonant Power Conversion Using Model Predictive Control., , , and . IECON, page 5075-5080. IEEE, (2019)Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool., , , , and . IEEE Trans. Ind. Informatics, 14 (1): 137-145 (2018)Deep Learning-Based Model Predictive Control for Resonant Power Converters., , , , and . IEEE Trans. Ind. Informatics, 17 (1): 409-420 (2021)Model Predictive Control for Resonant Power Converters Applied to Induction Heating., , , and . ISIE, page 246-251. IEEE, (2018)Deep Learning-Based Magnetic Coupling Detection for Advanced Induction Heating Appliances., , , , and . IEEE Access, (2019)Computing in the Blink of an Eye: Current Possibilities for Edge Computing and Hardware-Agnostic Programming., , and . IEEE Access, (2020)Unsupervised learning segmentation for dynamic speckle activity images., , , , , , and . CoRR, (2014)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)