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Search Results - "prognosis"

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  1. 1

    VNL-STES: a benchmark dataset and model for spatiotemporal event spotting in volleyball analytics

    Nguyen, H., Jamsrandorj, A., Chao, V., Oo, Y. M., Robbani, M. A., Mun, K.-R., Kim, J.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
    “…prognosis…”
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  2. 2

    Decoding attack performance: The role of spatiotemporal characteristics in volleyball complex 1

    Drikos, S., Kouvalias, S., Salomidou, C., Sotiropoulos, K., Barzouka, K.
    Published in International Journal of Sports Science & Coaching (2025)
    “…prognosis…”
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  3. 3

    Analyzing the impact of various jump load intensities on countermovement jump metrics: a comparison of average, peak, and peak-to-average ratios in force-based metrics

    Sanders, G. J., Skodinski, S., Peacock, C. A.
    Published in Sensors (2025)
    “…prognosis…”
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  4. 4

    Long-term prognosis of patellar tendinopathy (jumper`s knee) in young, elite volleyball players: tendon changes 11 years after baseline

    Visnes, H., Bache-Mathiesen, L. K., Yamaguchi, T., Gilhuus, H. P., Algaard, K. R. H., Hisdal, E., Bahr, R.
    Published in The American Journal of Sports Medicine (2024)
    “…prognosis…”
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  5. 5

    Muscle structure predictors of vertical jump performance in elite male volleyball players: a cross-sectional study based on ultrasonography

    Jiang, W., Chen, C., Xu, Y.
    Published in Frontiers in Physiology (2024)
    “…prognosis…”
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  6. 6

    Affective forecasting and social physique anxiety among female athletes: A pilot study

    Wolverton, J., Dobersek, U.
    Published in The Sport Journal (2023)
    “…prognosis…”
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  7. 7

    Ankle and knee stability as predictors for dynamic balance

    Bernhardt, V., Oldham, M. D.
    Published in 28th Annual Congress of the European College of Sport Science, 4-7 July 2023, Paris, France (2023)
    “…prognosis…”
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  8. 8

    Prediction of injuries, traumas and musculoskeletal pain in elite Paralympic volleyball players

    Gawel, E., Zwierzchowska, A., Gómez-Ruano, M. A., Zebrowska, A.
    Published in 28th Annual Congress of the European College of Sport Science, 4-7 July 2023, Paris, France (2023)
    “…prognosis…”
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  9. 9

    Examining the predictive power of emotional intelligence on coaching success

    Magrum, E. D., Manninen, M., Schempp, P. G.
    Published in International Sport Coaching Journal (2024)
    “…prognosis…”
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  10. 10

    Searching for the effects of momentum in beach volleyball: An empirical comparison of different models

    Lillich, L., Schweizer, G., Nießner, M.
    Published in Zeitschrift für Sportpsychologie (2023)
    “…prognosis…”
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  11. 11

    Predicting the volleyball spike jump height by the force-time curve variables of countermovement and volleyball spike jump

    Slovák, L., Sarvestan, J., Alaei, F., Zahradník, D.
    Published in Journal of Physical Education and Sport (2023)
    “…prognosis…”
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  12. 12

    A retrospective analysis of the national youth teams in volleyball: were they always faster, taller, and stronger?

    Mostaert, M., Pion, J., Lenoir, M., Vansteenkiste, P.
    Published in The Journal of Strength and Conditioning Research (2022)
    “…prognosis…”
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  13. 13

    Predicting the length of volleyball serves: The role of early auditory and visual information

    Sors, F., Lath, F., Bader, A., Santoro, I., Galmonte, A., Agostini, T., Murgia, M.
    Published in PLOS ONE (2018)
    “…prognosis…”
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  14. 14

    Game variables that predict success and performance level in elite men`s volleyball

    Drikos, S., Barzouka, K., Nikolaidou, M.-E., Sotiropoulos, K.
    Published in International Journal of Performance Analysis in Sport (2021)
    “…prognosis…”
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  15. 15

    Assessing acute:chronic workload ratio (ACWR) methodologies for the prediction of knee pain in men`s elite volleyball

    Damji, F., MacDonald, K., Hunt, M. A., Taunton, J., Scott, A.
    Published in Translational Sports Medicine (2021)
    “…prognosis…”
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  16. 16

    Identification of factors determining winning in men`s and women`s beach volleyball: a logistical regression approach.

    Kumar, G., Shukla, A., Chhoker, A., Thapa, R. K.
    Published in Teorija i metodika fizichnogo vihovannja (2021)
    “…prognosis…”
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  17. 17

    Optimization of volleyball motion estimation algorithm based on machine vision and wearable devices

    Tian, Y.
    Published in Microprocessors and Microsystems (2021)
    “…prognosis…”
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  18. 18

    Prediction of team league`s rankings in volleyball by artificial neural network method

    Erdal Tümer, A., Kocer, S.
    Published in International Journal of Performance Analysis in Sport (2017)
    “…prognosis…”
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  19. 19

    Bump, set, spike: Using analytics to rate volleyball teams and players

    Bagley, C., Ware, B.
    Published in Sloan Sports Conference, March 3-4, 2017, Hynes Convention Center (2017)
    “…prognosis…”
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  20. 20

    Predictive factors of the attack efficacy: the case of the Brazilian women`s Volleyball League champion team

    Rodrigues Rocha, A. C., Barreiros Freire, A., Rodrigues Martins, L., Pereira Maia, M., da Silva Guimaraes, J., Ugrinowitsch, H., de Oliveira Castro, H., De Conti Teixeira Costa, G.
    Published in Revista Brasileira de Cineantropometria e Desempenho Humano (2019)
    “…prognosis…”
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