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  1. 1

    Using unsupervised machine learning to characterize recovery patterns in elite canoe-kayak athletes across the Olympic training year

    Foucaud, A., Durand, F., Meric, H.
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  2. 2

    Inter-stroke steadiness: a new kinematic variable related to 200m performance in young canoeists

    Abellán-Aynés, O., López-Plaza, D., Martínez-Aranda, L. M., Alacid, F.
    Published in Sports Biomechanics (2022)
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  3. 3

    One-dimensional model for kayak propulsion

    Delgado, D., Ruiz, C.
    Published in Applied Sciences (2022)
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  4. 4

    Energetics of canoe sprint kayaking

    Nakagaki, K.
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  5. 5

    Canoeing motion tracking and analysis via multi-sensors fusion

    Liu, L., Qiu, S., Wang, Z., Li, J., Wang, J.
    Published in Sensors (2020)
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  6. 6

    Critical velocity and anaerobic paddling capacity determined by different mathematical models and number of predictive trials in canoe slalom

    Messias, L. H. D., Ferrari, H. G., Reis, I. G. M., Scariot, P.P. M., Manchado-Gobatto, F. B.
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  7. 7

    The computational fluid dynamics study of orientation effects of oar blade

    Laurent, A., Rouard, A., Mantha, V. R., Marinho, D. A., Silva, A. J., Rouboa, A. I.
    Published in Journal of Applied Biomechanics (2013)
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  8. 8

    Variability and predictability of elite competitive slalom canoe-kayak performance

    Nibali, M., Hopkins, W. G., Drinkwater, E.
    Published in European Journal of Sport Science (2011)
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