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Evaluating the Dynamics of Aircraft Crew Skill Development by Using the Results of Discrete Exercise Marking

knowledge: Signals, signs and symbols, and their distinctions in human performance models,” IEEE Transactions on Systems, Man, and Cybernetics , vol. SMC-13, issue 3, pp. 257–266, 1983. https://doi.org/10.1109/TSMC.1983.6313160 [9] A. M. Gentile, “A working model of skill acquisition with applications to teaching,” Quest , vol. 17, pp. 3–23, 1972. https://doi.org/10.1080/00336297.1972.10519717 [10] A. M. Gentile, “Skill acquisition: Action, movement, and neuromotor processes,” in Movement science: Foundations for physical therapy , 2nd ed., H. Carr and R

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On the Dynamic Response Prediction at the Full-Scale Test of Aircraft Component

identification,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , vol. 359, issue 1778, pp. 131–149, 2001. [9] M. N. Rezai, J. E. Bernard, and J. M. Starkey, “Empirical modal analysis,” The Shock and Vibration Digest , vol. 15, 1983. [10] D. J. Ewins, Modal Testing: Theory, Practice and Application . Baldock: Research Studies Press, UK, 2003. [11] M. W. Halling, I. Muhammad, and K. C. Womack, “Dynamic testing for condition assessment of bridge bents,” Journal of Structural Engineering, ASCE, vol. 127

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Classification of traffic signal system anomalies for environment tests of autonomous vehicles

-790. dpa / muenchen . de , 2016. Signs with geometric figures on black circle ( In German S childer mit geometrischen figuren auf schwarzem kreis) . E vtimov , I., E ykholt , K., F ernandes , E., K ohno , T., L i , B., P rakash , A., R ahmati , A., S ong , D. 2017. Robust physical-world attacks on deep learning models, computer vision and pattern recognition (CVPR 2018), Supersedes arxiv preprint, 1707.08945. F azekas , Z., G áspár , P. 2015. Computerized recognition of traffic signs setting out lane arrangements , Acta Polytechnica Hungarica. G

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