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  1. 1

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

    D. Memmert
    Published 2025
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  2. 2

    Application of the coaching biomechanics interface: which technique should I choose?

    Hiley, M. J., Hall, P., Yeadon, M. R., Irwin, G.
    Published in Sports Biomechanics (2025)
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  3. 3

    From beats to scores: a multi-modal framework for comprehensive figure skating assessment

    Wang, F., Wang, Q., Chen, D.
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  4. 4

    Qualitative assessment of ballet kinematics algorithm: case study in the glissade saut de chat

    Benchetrit, A.
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  5. 5

    Go big or spin fast? Biomechanical deterministic models for snowboard freestyle tricks performed on a trampoline

    Merz, C., Naundorf, F., Gorges, T., Schüler, A., Pickardt, S., Supej, M., Kersting, U. G.
    Published in Journal of Sports Sciences (2025)
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  6. 6

    How take-off technique affects muscle demand in the back handspring step out in female gymnasts

    Small, G. H., Neptune, R. R.
    Published in Sports Biomechanics (2025)
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  7. 7

    Differences in muscle demand across take-off techniques in the back handspring step out in women's gymnastics

    Small, G. H., Neptune, R. R.
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  8. 8

    Quantification of body "shape" in Japanese elite gymnasts using homologous body model

    Soma, M., Kashiwagi, Y., Mizutori, H., Tachibana, Y., Funato, K.
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  9. 9

    Applications of biomechanical foot models to evaluate dance movements using three-dimensional motion capture: a review of the literature

    Veirs, K. P., Fagg, A. H., Haleem, A. M., Jeffries, L. M., Randall, K., Sisson, S. B., Dionne, C. P.
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  10. 10

    Mechanical and mathematical modeling of a gymnastics springboard` stiffness

    Zanevskyy, I., Zanevska, L.
    Published in Sports Engineering (2023)
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  11. 11

    Krugovaja trenirovka kak sposob modelirovanija fiziceskoj nagruzki v figurnom katanii (Circular training as a method for modeling physical loads in figure skating)

    Cherepanova, I. O., Dunaev, K. S., Seyranov, S. G., Tikhomirov, A. K.
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  12. 12

    Trait perfectionism and dance goals among young female dancers: An application of the 2 × 2 model of perfectionism

    Molnar, D. S., Blackburn, M., Zinga, D., Spadafora, N., Methot-Jones, T., Connolly, M.
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  13. 13

    Developing a mathematical model to predict energy expenditure while bouncing on a trampoline

    Alexander, K., Clement, T., Draper, N.
    Published in European Journal of Sport Science (2021)
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  14. 14

    The effect of difficulty and execution scores on total ranking during 2019 Rhythmic Gymnastics World Championships

    Örs, B. S.
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  15. 15

    Bidirectional long short-term memory networks and sparse hierarchical modeling for scalable educational learning of dance choreographies

    Rallis, I., Bakalos, N., Doulamis, N., Doulamis, A., Voulodimos, A.
    Published in The Visual Computer (2021)
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  16. 16

    A finite element model for estimation of contact dynamics during a jumping movement on a trampoline

    Qian, J., Mao, Y., Tang, X., Li, Z., Wen, C., Zhang, S.
    Published in Journal of Human Kinetics (2020)
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  17. 17

    Modern Methods of fatigue assessment

    Volkova, Y.
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  18. 18

    Differences between all-around results in women`s artistic gymnastics and ways of minimizing them

    Atikovic, A., Kamenjaševic, E., Nožinovic Mujanovic, A., Užicanin, E., Tabakovic, M., Curic, M.
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  19. 19

    Identification of the contribution of contact and aerial biomechanical parameters in acrobatic performance

    Haering, D., Huchez, A., Barbier, F., Holvoët, P., Begon, M.
    Published in PLOS ONE (2017)
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  20. 20

    A multi-body model of a springboard in gymnastics

    Lehmann, T., Lorz, A., Schleichardt, A., Naundorf, F., Knoll, Kl., Eckardt, F., Witte, K.
    Published in Science of Gymnastics Journal (2020)
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