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  1. 1

    BMX race-start dynamics: Coupling on-track measurements and physics-based modelling for performance optimisation

    Fortier, A., Violain, M., Brunet, E., Clanet, C.
    Published in Journal of Science and Cycling (2025)
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  2. 2

    TAR-YOLO: A novel deep learning model and dataset for tennis action recognition

    Chen, B., Du, L., Fang, W., Cen, Y., Mou, C., Peng, J., Jin, L., Peng, X.
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  3. 3

    Enhancing long-term action quality assessment: A dual-modality dataset and causal cross-modal framework for trampoline gymnastics

    Lin, F., Huang, J., Chen, Z., Zhu, K., Feng, C.
    Published in Sensors (2025)
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  4. 4

    Effects of transcranial electrical stimulation on intermuscular coherence in WuShu sprint and KAN-based EMG-performance function fitting

    Li, L., Li, H., Fan, Q.
    Published in Sensors (2025)
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  5. 5

    Identifying risk patterns for sudden cardiac death in athletes: a clustering and principal component analysis approach

    Sgarro, G. A., Vasco, P., Santoro, D., Grilli, L., Giglio, M., Brunetti, N. D., Traetta, L., Cibelli, G., Valenzano, A. A.
    Published in PLOS ONE (2026)
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  6. 6

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
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  7. 7

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

    D. Memmert
    Published 2025
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  8. 8

    Aerodynamic analysis during the in-run phase of ski jumping: A numerical study of body posture effects

    Li, W., Chen, L., Zhao, T., Xu, G., Li, Q., Shi, W.
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  9. 9

    Predicting football match outcomes: a multilayer perceptron neural network model based on technical statistics indicators of the FIFA world Cup

    Luo, Y., Quan, T., Cao, Y.
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  10. 10

    Artificial intelligence in endurance sports: Metabolic, recovery, and nutritional perspectives

    Grivas, G. V., Safari, K.
    Published in Nutrients (2025)
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  11. 11

    On the curved skate technique of speed skating

    van der Eb, J., Yeadon, M. R. F.
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  12. 12

    The large volume and three-dimensional shape of the flexor hallucis longus muscle in sprinters and distance runners

    Peter, A., Hegyi, A., Kóbor, I., Gyebnár, G., Kovács, B.
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  13. 13

    A mini-review of mathematical methods in sprint performance

    Fan, Y.
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  14. 14

    The optimal ready position in tennis

    Mokhtar, A.
    Published in Coaching and Sport Science Review (2025)
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  15. 15

    Global positioning system-derived metrics and machine learning models for injury prediction in professional rugby union players

    Ren, X., Boisbluche, S., Philippe, K., Demy, M., Äyrämö, S., Rautiainen, I., Ding, S., Prioux, J.
    Published in European Journal of Sport Science (2025)
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  16. 16

    Mathematical models for off-ball scoring prediction in basketball

    Kono, R., Fujii, K.
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  17. 17

    Three-dimensional glenohumeral joint reaction forces during a middle direct punch in elite taekwondo athletes: A musculoskeletal modeling analysis

    Omran, B. M., Karimi, R., Asadimoghaddam, N., Mohammadi, M.
    Published in Gait and Posture (2025)
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  18. 18

    A machine learning model for post-concussion musculoskeletal injury risk in collegiate athletes

    Claros, C. C., Anderson, M. N., Qian, W., Brockmeier, A. J., Buckley, T. A.
    Published in Sports Medicine (2025)
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  19. 19

    Synthetic data for sharing and exploration in high-performance sport: considerations for application

    Warmenhoven, J., Impellizzeri, F. M., Shrier, I., Vigotsky, A. D., Lolli, L., Menaspà, P., Coutts, A. J., Fanchini, M., Hooker, G.
    Published in Sports Medicine (2025)
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  20. 20

    Advancing NFL win prediction: from Pythagorean formulas to machine learning algorithms

    Weirich, C., Kim, J. W., Yoon, Y., Jeong, S.
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