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  1. 1

    The analysis of gait patterns using a color camera and computer vision

    Batysheva, T. T., Tikhonov, S. V., Alekseeva, M. V., Peganskiy, D. A.
    Published in Theory and Practice of Physical Culture (2024)
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  2. 2

    Analysis of the 72-h ultramarathon using a predictive XG Boost model

    Knechtle, B., Villiger, E., Weiss, K., Valero, D., Gajda, R., Scheer, V., Barbosa de Lira, C. A., Braschler, L., Nikolaidis, P. T., Vancini, R. L., Cuk, I., Rosemann, T., Thuany, M.
    Published in Sport Sciences for Health (2024)
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  3. 3

    Characteristic of elite male 800-m runner`s race performance based on hybrid computing methods

    Chen, C., Ma, J., Song, J., He, S., Tan, M.
    Published in Applied Bionics and Biomechanics (2023)
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  4. 4

    A simple equation to estimate half-marathon race time from the Cooper test

    Alvero-Cruz, J. R., Standley, R. A., Giráldez-Garcia, M. A., Carnero, E. A.
    Published in International Journal of Sports Physiology and Performance (2020)
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  5. 5

    Allometric scaling of body mass in running economy data: An important consideration in modeling marathon performance

    Lundstrom, C. J., Biltz, G. R., Snyder, E. M., Ingraham , S. J.
    Published in Journal of Human Sport & Exercise (2017)
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  6. 6

    Effect of performance level on the prediction of middle-distance-running performances using a nomogram

    Tabben, M., Bosquet, L., Coquart, J. B.
    Published in International Journal of Sports Physiology and Performance (2016)
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  7. 7

    An objective and individualised method of predicting performances in running events

    Watt, R.
    Published in New Studies in Athletics (2013)
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  8. 8

    An evaluation of the accuracy of the American College of Sports Medicine metabolic equation for estimating the oxygen cost of running

    Ruiz, A., Sherman, N. W.
    Published in The Journal of Strength and Conditioning Research (1999)
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