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  1. 1

    Calculation of mark coordinates in 400 m oval athletics tracks:

    Matsubayashi, T., Ohnuma, H.
    Published in Journal of High Performance Sport (2025)
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  2. 2

    Valid and accurate simple equation to predict 3,000-m steeplechase performance

    Barbry, A., Lerebourg, L., Racil, G., Jlid, M. C., Coquart, J.
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  3. 3

    2024: anticipating record-breaking performances in front crawl swimming through mathematical analysis

    Patoz, A., Finiel, L., Borrani, F.
    Published in Frontiers in Physiology (2024)
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  4. 4

    Validation of a propulsion model in front crawl swimming

    Brunel, T., Clanet, C., Bolon, B., Larrarte, F., Cohen, C., Prétot, C., Carmigniani, R.
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  5. 5

    Interchangeability of back extrapolation and exercising oxygen uptake measure during front crawl swimming

    Leprêtre, P., Cassirame, J.
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  6. 6

    The changes in fractal dimension after a maximal exertion in swimming

    Barbosa, T. M., Simin, C., Forte, P., Morais, J. E.
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  7. 7

    Electromyography normalization methods for high-velocity muscle actions: Review and recommendations

    Ball, B., Scurr, J.
    Published in Journal of Applied Biomechanics (2013)
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  8. 8

    A mathematical simulation to study pike turn characteristics in front crawl swim

    Shahbazi, M. M., Sanders, R. H., Tonddast, N. S.
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  9. 9

    Zu einigen Fragen der Vervollkommnung des Systems und der Methoden der Trainingsplanung und Trainingsauswertung im Schwimmen

    Fiebig, H.
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  10. 10

    Swimming human model "SWUM" to analyze dynamical swimming problems

    Nakashima, M., Miura, Y., Satou, K.
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  11. 11

    Talenterfassung im Schwimmen: Auswertung einer spezifischen Testbatterie mittels Fuzzy Logic und Vergleich mit der tatsächlichen Leistungsentwicklung

    Brechtel, L., Zinner, J., Kautz, R., Wolff, R., Patotschka, I.
    Published in Talent im Sport (2002)
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  12. 12

    A mathematical analysis of the 4x 100 m relay

    Ward-Smith, A. J., Radford, P. F.
    Published in Journal of Sports Sciences (2002)
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  13. 13

    Mathematische Modellierung des Geschwindigkeitsverlaufs über 200 m

    Fuchs, P., Letzelter, M.
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  14. 14

    An improved Peronnet-Thibault mathematical model of human running performance

    Alvarez-Ramirez, J.
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  15. 15

    Prediction of the Olympic competitive performance in swimming using neural networks

    Edelmann-Nusser, J., Hohmann, A., Henneberg, B.
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  16. 16

    Application of neural networks for determination of trainings loads

    Rygula, I.
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  17. 17

    Scaling laws and forecasting in athletic world records

    Carbone, V., Savaglio, S.
    Published in Journal of Sports Sciences (2001)
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  18. 18

    A new method for evaluating the balance between the different phases in 100 m sprinting

    Keränen, T., Jouste, P., Salo, A. I. T.
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  19. 19

    Experimental validation of mathematical models in swimming

    Dabnichki, P., Lauder, M.
    Published in Informatik im Sport II (2000)
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  20. 20

    Energy conversion rates during sprinting with an emphasis the performance of female athletes

    Ward-Smith, A. J., Radford, P. F.
    Published in Journal of Sports Sciences (2000)
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