Search Results - "Prognose"

Refine Results
  1. 1

    Modelling of performance prediction by analysis of elite swimmers` anthropometry, peak performance age and age-related performance progression

    Nazari Mehrabi, A., Imani, H., Khademnoe, O., Khantan, M., Lundberg, T. R., Gorzi, A.
    Published in PLOS ONE (2025)
    “…Prognose…”
    Save to List
    Saved in:
    Access source
  2. 2

    Utilising competition participation history at youth age to forecast dropout risk and sporting success likelihoods in competitive swimming

    Masismadi, N. A., Wylde, M., Huynh, M., Gastin, P. B., Chia, E., Suppiah, H. T. “…Prognose…”
    Save to List
    Saved in:
    Access source
  3. 3

    Beyond pace: predicting 1500m freestyle times with multi-feature random forests

    Russomanno, T. “…Prognose…”
    Save to List
    Saved in:
  4. 4

    Comparison of the results of the 15-meter sprint swimming (TT-15) with the results of the hundred-meter race for professional swimmers: potential and limits of applicability of the...

    Zaitsev, V. S., Molina, I. “…Prognose…”
    Save to List
    Saved in:
    Access source
  5. 5

    What it takes to win: examining predicted versus actual swimming performances at the Paris 2024 Olympic Games, and what comes next

    Powell, C, Pyne, D, Crowley, E, Mujika, I. “…Prognose…”
    Save to List
    Saved in:
    Access source
  6. 6

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

    Patoz, A., Finiel, L., Borrani, F.
    Published in Frontiers in Physiology (2024)
    “…Prognose…”
    Save to List
    Saved in:
    Access source
  7. 7

    Diving into a pool of data: Using principal component analysis to optimize performance prediction in women`s short-course swimming

    Staunton, C. A., Romann, M., Björklund, G., Born, D.-P-
    Published in Journal of Sports Sciences (2024)
    “…Prognose…”
    Save to List
    Saved in:
    Access source
  8. 8

    Dryland performance tests are not good predictors of world aquatics points in elite male and female swimmers

    Selvamoorthy, R., Macgregor, L. J., Donald, N., Hunter, A. M.
    Published in Sports (2024)
    “…Prognose…”
    Save to List
    Saved in:
    Access source
  9. 9

    Effects of anthropometrics, thrust, and drag on stroke kinematics and 100 m performance of young swimmers using path-analysis modeling

    Morais, J. E., Barbosa, T. M., Gomeñuka, N. A., Marinho, D. A. “…Prognose…”
    Save to List
    Saved in:
    Access source
  10. 10

    Does pool performance of elite triathletes predict open-water performance?

    Sellés-Pérez, S., Cejuela, R., Fernández-Sáez, J., Arévalo-Chico, H. “…Prognose…”
    Save to List
    Saved in:
    Access source
  11. 11

    Training load determining sports performance in swimming

    Guzman, M., Brodáni, J. “…Prognose…”
    Save to List
    Saved in:
    Access source
  12. 12

    Physiological determinants of open-water swimmers

    Robin, P., Yannis, R., Xavier, B., Anaël, A. “…Prognose…”
    Save to List
    Saved in:
    Access source
  13. 13

    Next-Generation models for predicting winning times in elite swimming events: updated predictions for the Paris 2024 Olympic Games

    Mujika, I., Pyne, D. B., Wu, P. P., Ng, K., Crowley, E., Powell, C. “…Prognose…”
    Save to List
    Saved in:
    Access source
  14. 14

    Modeling and predicting the backstroke to breaststroke turns performance in age-group swimmers

    Chainok, P., de Jesus, K., Coelho, L., Ayala, H. V. H., de Castro Ribeiro, M. G., Fernandes, R. J., Vilas-Boas, J. P.
    Published in Sports Biomechanics (2021)
    “…Prognose…”
    Save to List
    Saved in:
    Access source
  15. 15

    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. “…Prognose…”
    Save to List
    Saved in:
  16. 16

    The combined analysis of urine and blood metabolomics profiles provides an accurate prediction of the training and competitive status of Chinese professional swimmers

    Yang, R., Wang, Y., Yuan, C., Shen, X., Cai, M., Wang, L., Hu, J., Song, H., Wang, H., Zhang, L.
    Published in Frontiers in Physiology (2023)
    “…Prognose…”
    Save to List
    Saved in:
    Access source
  17. 17

    Age-related physical and performance changes in young swimmers: The comparison of predictive models in 50-meter swimming performance

    Demirkan, E., Ozkadi, T., Alagoz, I., Cagla Caglar, E., Camici, F. “…Prognose…”
    Save to List
    Saved in:
    Access source
  18. 18

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

    Busso, T., Chalencon, S. “…Prognose…”
    Save to List
    Saved in:
    Access source
  19. 19

    Determination of subset models for predicting vertical centre of mass position during front crawl in male swimmers

    Washino, S., Murai, A., Mankyu, H., Yoshitake, Y.
    Published in Journal of Sports Sciences (2023)
    “…Prognose…”
    Save to List
    Saved in:
    Access source
  20. 20

    Speeding up or slowing down? Analysis of race results in elite-level swimming from 2011-2019 to predict future Olympic Games performances

    Crowley, E., Ng, K., Mujika, I., Powell, C. “…Prognose…”
    Save to List
    Saved in:
    Access source

Search Tools: