Search Results - "Prognose"

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  1. 1

    Strength as a predictor of aerobic power in competitive cyclists: national team insights

    Javaloyes, A., Sánchez-Muñoz, C., Salas-Montoro, J. A., Moya-Ramón, M., Mateo-March, M. “…Prognose…”
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  2. 2

    Optimal body mass normalization of power output for accurate prediction of estimated cycling performance over complex time-trial courses

    Horvath, M., Andersson, E. P. “…Prognose…”
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  3. 3

    Performance prediction criteria based on yearling training cycle data for world-class athletes` tiny 1000-meter kayak teams: A case study

    Dadelo, S., Nekriošius, R., Dadeliene, R.
    Published in Life (2025)
    “…Prognose…”
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  4. 4

    W' reconstitution modelling during intermittent exercise performed to task failure

    Welburn, A. J., Pugh, C. F., Bailey, S. J., Ferguson, R. A. “…Prognose…”
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  5. 5

    Enhanced durability predicts success in amateur road cycling: evidence of power output declines

    Barsumyan, A., Soost, C., Burchard, R. “…Prognose…”
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  6. 6

    The fourth dimension: physiological resilience as an independent determinant of endurance exercise performance

    Jones, A. M.
    Published in Journal of Physiology (2024)
    “…Prognose…”
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  7. 7

    Validity of a machine learning estimation of blood volumes during altitude training

    Moreillon, B., Krumm, B., Mettraux, L., Wackernell, J., Spragg, J., Faulhaber, M., Faiss, R.
    Published in Current Issues in Sport Science (2025)
    “…Prognose…”
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  8. 8

    Enhancing endurance performance predictions: the role of movement velocity in metabolic simulations demonstrated by cycling cadence

    Dunst, A. K., Hesse, C., Ueberschär, O. “…Prognose…”
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  9. 9

    A novel approach of modelling and predicting track cycling sprint performance

    Dunst, A. K., Grüneberger, R.
    Published in Applied Sciences (2021)
    “…Prognose…”
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  10. 10

    Predicting future athletic performance in young female road cyclists based on aerobic fitness and hematological variables

    Sitkowski, D., Malczewska-Lenczowska, J., Zdanowicz, R., Starczewski, M., Pokrywka, A., Zmijewski, P., Faiss, R. “…Prognose…”
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  11. 11

    Performance analysis and mechanical determinants of the opening lap of the team sprint in elite-level track cycling

    Kordi, M., van Rijswijk, I.
    Published in European Journal of Sport Science (2024)
    “…Prognose…”
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  12. 12

    Maximum power available: An important concept for prediction of task failure and improved estimation of training loads in cycling

    Kontro, H., Mastracci, A., Cheung, S., MacInnis, M. J.
    Published in Journal of Science and Cycling (2024)
    “…Prognose…”
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  13. 13

    The effect of reducing work rate on total work done, and exercise tolerance, during severe intensity exercise

    Welburn, A., Bailey, S., Ferguson, R.
    Published in Journal of Science and Cycling (2024)
    “…Prognose…”
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  14. 14

    Physical performance estimation in practice: A systematic review of advancements in performance prediction and modeling in cycling

    Stessens, L., Gielen, J., Meeusen, R., Aerts, J.-M. “…Prognose…”
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  15. 15

    The reliability of a single-trial measurement of maximal accumulated oxygen deficit determined via perceptually-regulated exercise

    Glaister, M., Liddell, A., Estlea, K. “…Prognose…”
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  16. 16

    Towards personalised performance prediction in road cycling through machine learning

    Kholkine, L., de Leeuw, A. W., Verdonck, T., Latré, S. “…Prognose…”
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  17. 17

    Is the 5-minute time-trial cycling test a valid predictor of maximal oxygen uptake an external cross-validation study

    Klitzke Borszcz, F., Tramontin, A. F., de Lucas, R. D., Costa, V. P. “…Prognose…”
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  18. 18

    A fuzzy-based software tool used to predict 110m hurdles results during the annual training cycle

    Przednowek, K., Wiktorowicz, K., Krzeszowski, T., Iskra, J. “…Prognose…”
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  19. 19

    Performance metrics to predict national-level competition outcomes in a cluster of road cyclists

    Cesanelli, L., Lopez, J. A. F., Lagoute, T., Ylaite, B., Stasiulis, A. “…Prognose…”
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  20. 20

    Will wearable sweat lactate sensors be the next big thing in cycling?

    Van Hoovels, K., Boone, J., Cuartero, M., Crespo, G. A.
    Published in Journal of Science and Cycling (2023)
    “…Prognose…”
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