Search Results - "technical and natural sciences"

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  1. 1

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
    “…technical and natural sciences…”
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  2. 2

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
    “…technical and natural sciences…”
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  3. 3

    Comparison of shoulder kinematics and kinetics during running throws with whip-like and circular wind up in elite handball players

    Van den Tillaar, R. “…technical and natural sciences…”
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  4. 4

    Sex differences in lower limb neuromuscular function and asymmetry among 14-15 years old elite basketball players

    Lyu, M., Pappas, E., Ding, L., Qian, H., Huang, J., Farragher, J., Ganderton, C., Xenos, S., Lyu, J., Han, J.
    Published in Frontiers in Physiology (2025)
    “…technical and natural sciences…”
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  5. 5

    A visual analytics approach to basketball game understanding using image-based tracking and event detection

    Karungaru, S., Tanioka, H. “…technical and natural sciences…”
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  6. 6

    Identification of lower limb muscle fatigue in basketball players based on sEMG signals

    Ma, X., Chen, S., Li, Q.
    Published in Frontiers in Physiology (2025)
    “…technical and natural sciences…”
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  7. 7

    Mathematical models for off-ball scoring prediction in basketball

    Kono, R., Fujii, K. “…technical and natural sciences…”
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  8. 8

    GraphEIV: A framework for estimating the expected immediate value in basketball using graph neural networks

    Sá-Freire, B. M., Barbosa, G. R. G., Gonçalves, J. L. L., Schuster, J., Rios-Neto, H. “…technical and natural sciences…”
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  9. 9

    Is the classification of athletes based on force-velocity profiling from countermovement jumps influenced by the choice of method?

    Paulsen, G., Lindberg, K., Eriksrud, O., Solberg, P., Bjørnsen, T., Seynnes, O., Gløersen-Haga, Ø., Bobbert, M., Rice, H. “…technical and natural sciences…”
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  10. 10

    Handgrip strength asymmetry in female basketball players: The critical role of arm position and the challenge of statistical power

    Panoutsakopoulos, V., Schwarz, A. V., Merkou, E., Savvoulidis, S., Kotzamanidou, M. C., Papadakis, Z.
    Published in Sports (2025)
    “…technical and natural sciences…”
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  11. 11

    Sex- and sport-specific differences in jump strategies: key qualities for jump performance

    Lin, J.-H., Goldstein, S., Schroeder, E. T.
    Published in Sports (2025)
    “…technical and natural sciences…”
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  12. 12

    Effects of upper extremity fatigue on shooting accuracy, kinematics, and muscle activation in basketball players

    Yasar, M. N., Cilli, M., Bakici, D., Ay Gul, A. N., Kalk, B., Cinarli, F. S.
    Published in Kinesiologia Slovenica (2025)
    “…technical and natural sciences…”
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  13. 13

    Reliability of two-dimensional kinematic assessment of single-leg landing, countermovement jump, and broad jump techniques among elite handball players

    Ribic, A., Spudic, D., Šarabon, N., Pori, P.
    Published in Kinesiologia Slovenica (2025)
    “…technical and natural sciences…”
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  14. 14

    Relationships between horizontal jump kinematics and sprint performance in female sprinters and team sport athletes

    Johansen, B., van den Tillaar, R., Neville, J. “…technical and natural sciences…”
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  15. 15

    The effect of basketball analytics investment on National Basketball Association (NBA) team performance

    Wang, H., Sarker, A., Hosoi, A.
    Published in Journal of Sports Economics (2025)
    “…technical and natural sciences…”
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  16. 16

    How to assess leader capabilities: Applying AI algorithms to evaluate NBA head coaches

    Kim, P., Lee, S.
    Published in Journal of Sports Analytics (2025)
    “…technical and natural sciences…”
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  17. 17

    Performance indicators for qualification to the playoffs and the final four in Euroleague 2000-2022

    Kamitsis, A., Politis, K.
    Published in Journal of Sports Analytics (2025)
    “…technical and natural sciences…”
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  18. 18

    Persistent homology of NBA lineups usage

    Wiseman, J.
    Published in Journal of Sports Analytics (2025)
    “…technical and natural sciences…”
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  19. 19

    Leveraging expected action value to measure on-court decision-making skills in basketball

    Jutamulia, I., Hosoi, A. E.
    Published in Journal of Sports Analytics (2025)
    “…technical and natural sciences…”
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  20. 20

    Pythagorean expectation in EuroLeague data

    Michailidis, A., Ntzoufras, I., Marmarinos, C.
    Published in Journal of Sports Analytics (2025)
    “…technical and natural sciences…”
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