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Search Results - "mathematisch-logisches Modell"

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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.
    Published in Frontiers in Sports and Active Living (2025)
    “…mathematisch-logisches Modell…”
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  2. 2

    A machine learning approach for saddle height classification in cycling

    Bing, F., Zhang, G., Wei, L., Zhang, M.
    Published in Frontiers in Sports and Active Living (2025)
    “…mathematisch-logisches Modell…”
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  3. 3

    An analysis of the 6-h ultra-marathon race using a machine learning approach

    Thuany, M., Weiss, K., Valero, D., Villiger, E., Andrade, M. S., Nikolaidis, P. T., Scheer, V., de Lira, C. A. B., Vancini, R. L., Cuk, I., Braschler, L., Rosemann, T., Knechtle, B.
    Published in Frontiers in Sports and Active Living (2025)
    “…mathematisch-logisches Modell…”
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  4. 4

    VO2FITTING software: New insights and practical applications (VO2FITTING software update)

    Monteiro, A. S. M., Azevedo, R. M. S., Zacca, R., Ogonowska-Slodownik, A., Buzzachera, C. F., Vilas-Boas, J. P., Fernandes, R. J.
    Published in Journal of Human Kinetics (2025)
    “…mathematisch-logisches Modell…”
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  5. 5

    Reliability of the durability concept in professional cyclists: a field-based study

    Mateo-March, M., Barranco-Gil, D., Hernández-Belmonte, A., Javaloyes, A., Muriel, X., Pallarés, J. G., Lucia, A., Valenzuela, P. L.
    Published in International Journal of Sports Medicine (2025)
    “…mathematisch-logisches Modell…”
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  6. 6

    The influence of the environment on the calculation of drag area in cycling: Contrasting results between indoor and outdoor field tests

    Ordiñana-Pérez, M., Zabala, M., Blasco-Lafarga, C.
    Published in International Journal of Sports Science & Coaching (2025)
    “…mathematisch-logisches Modell…”
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  7. 7

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

    Dunst, A. K., Hesse, C., Ueberschär, O.
    Published in European Journal of Applied Physiology (2025)
    “…mathematisch-logisches Modell…”
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  8. 8

    Machine learning prediction of pulmonary oxygen uptake from muscle oxygen in cycling

    Li, N., Hu, W., Ma, Y., Xiang, H.
    Published in Journal of Sports Sciences (2024)
    “…mathematisch-logisches Modell…”
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  9. 9

    Thrifty reservoir: A phenomenological concept model for cycling

    Pieri, G.
    Published in Journal of Science and Cycling (2024)
    “…mathematisch-logisches Modell…”
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  10. 10

    Incorporating the maximal mean power profile in time trial simulations for more efficient optimal pacing strategy calculations

    Zignoli, A., Biral, F.
    Published in Journal of Science and Cycling (2024)
    “…mathematisch-logisches Modell…”
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  11. 11

    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.
    Published in International Journal of Sports Science & Coaching (2024)
    “…mathematisch-logisches Modell…”
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  12. 12

    Reliability of recovery heart rate variability measurements as part of the Lamberts Submaximal Cycle Test and the relationship with training status in trained to elite cyclists

    Lamberts, R. P., van Erp, T., Javaloyes, A., Eken, M. M., Langerak, N. G., Tam, N.
    Published in European Journal of Applied Physiology (2024)
    “…mathematisch-logisches Modell…”
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  13. 13

    Modelling of a cyclist`s power for time trials on a velodrome

    Bos, L., Slawinski, M. A., Slawinski, R. A., Stanoev, T.
    Published in Sports Engineering (2024)
    “…mathematisch-logisches Modell…”
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  14. 14

    Running functional threshold versus critical power: Same concept but different values

    Ñancupil-Andrade, A. A., Ruiz-Alias, S. A., Pérez-Castilla, A., Jaén-Carrillo, D., García-Pinillos, F.
    Published in International Journal of Sports Medicine (2023)
    “…mathematisch-logisches Modell…”
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  15. 15

    Ein neuartiger Ansatz zur Bestimmung der zeit- und ermüdungsabhängigen Effizienz bei maximalen Radsprints (A novel approach to determine time- and fatigue-dependent efficiency in maximal cycling sprints)

    Dunst, A. K., Hesse, C., Ueberschär, O.
    Published in dvs-Biomechanik 2023 Tagungsband (2023)
    “…mathematisch-logisches Modell…”
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  16. 16

    Estimation of anaerobic threshold with dynamic transfer function models based on heart rate and power in cycling

    Stessens, L., Jean-Marie, A.
    Published in Journal of Science and Cycling (2023)
    “…mathematisch-logisches Modell…”
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  17. 17

    On technical considerations of velodrome track design

    Stanoev, T.
    Published in Sports Engineering (2023)
    “…mathematisch-logisches Modell…”
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  18. 18

    Longitudinal analysis of the 800-m performances of the world's best female long-distance pool swimmer: A case study using critical speed and D'

    Barroso, R., Crivoi do Carmo, E., Foster, C., Skiba, P., Carvalho Barbosa, A.
    Published in International Journal of Sports Science & Coaching (2023)
    “…mathematisch-logisches Modell…”
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  19. 19

    Is the use of the coefficient of variation a valid way to assess the swimming intra-cycle velocity fluctuation?

    Gonjo, T., Fernandes, R. J., Vilas-Boas, J. P., Sanders, R.
    Published in Journal of Science and Medicine in Sport (2023)
    “…mathematisch-logisches Modell…”
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  20. 20

    Prediction of marathon performance using artificial intelligence

    Lerebourg, L., Saboul, D., Clémençon, M., Coquart, J. B.
    Published in International Journal of Sports Medicine (2023)
    “…mathematisch-logisches Modell…”
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