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  1. 1

    Differentiating acute fatigue and overreaching during intensified training using a recursive least squares algorithm combined with the variable dose-response model

    Busso, T., Chalencon, S.
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  2. 2

    The force-velocity profiling concept for sprint running is a dead end

    Ettema, G.
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  3. 3

    The effects of flutter kick on active drag during front crawl swimming

    Tsunokawa, T.
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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

    Individual optimisation of swimming start

    Prétot, C., Brunel, T., Bolon, B., Clanet, C., Carmigniani, R.
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  6. 6

    Modeling energetics and critical metabolic power in tethered-swimming

    Filho, D., de Castro, E. A., Massini, D. A., de Almeida, T. F., Macedo, A. G., Espada, M. C.
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  7. 7

    Interaction of kinematic, kinetic, and energetic predictors of young swimmers` speed

    Morais, J. E., Barbosa, T. M., Bragada, J. A., Ramirez-Campillo, R., & Marinho, D. A.
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  8. 8

    Validity and accuracy of impulse-response models for modeling and predicting training effects on performance of swimmers

    Busso, T., Chalencon, S.
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  9. 9

    Projected frontal area and its components during front crawl depend on lung volume

    Washino, S., Murai, A., Mankyu, H., Ogita, F., Kanehisa, H., Yoshitake, H.
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  10. 10

    Research on swimming force model of athletes based on Bernoulli's law

    Wang, Q., Yang, Y., Meng, X., Sun, X., Qi, J.
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  11. 11

    Sistemnyj podhod k realizacii obobshhennyh, gruppovyh i individual'nyh modelej jenergoobespechenija special'noj rabotosposobnosti v greble na bajdarkah (System approach to implementation of generalized, group and individual models of special work capacity energy supply in kayaking)

    Pencheng, G., Dyachenko, A., Xinyinan, W.
    Published in Science in Olympic Sport (2019)
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  12. 12

    Proposal of a conditioning activity model on sprint swimming performance

    Botta de Arruda, T., Barbieri, R. A., Luiz de Andrade, V., Cursiol, J. A., Kalva-Filho, C. A., Rodrigues Bertucci, D., Papoti, M.
    Published in Frontiers in Physiology (2020)
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  13. 13

    Analysis of top kayakers` training-intensity distribution and physiological adaptation based on structural modelling

    Dadeliene, R., Dadelo, S., Pozniak, N., Sakalauskas, L.
    Published in Annals of Operations Research (2020)
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  14. 14

    Modelling training adaptation in swimming using artificial neural network geometric optimisation

    Carrard, J., Kloucek, P., Gojanovic, B.
    Published in Sports (2020)
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  15. 15

    Modelling of the competitive activities of qualified female short-distance runners, taking into account their individual characteristics

    Vrublevskiy, E. P., Sevdalev, S. V., Lashkevich, S. V., Gerkusov, A. S.
    Published in Physical Education of Students (2019)
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  16. 16

    Individual speed control models for swimmers

    Rodionov, V. A., Rodionova, M. A., Inake, E. K.
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  17. 17

    The force, power, and energy of the 100 meter sprint

    Helene, O., Yamashita, M. T.
    Published in American Journal of Physics (2010)
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  18. 18

    Individual speed control models for swimmers

    Rodionov, V. A., Rodionova, M. A., Inake, E. K.
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  19. 19

    Understanding ratio of forces during early acceleration

    Bezodis, N., Colyer, S. L., Nagahara, R., Bayne, H., Bezodis, I., Morin, J.-B., Murata, M., Samozino, P.
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  20. 20

    Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models

    de Jesus, K., de Jesus, K, Hultmann Ayala, H. V., dos Santos Coelho, L., Vilas-Boas, J. P., Pinto Fernandes, R. J.
    Published in Journal of Sports Sciences (2019)
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