Search Results - "mathematic-logical model"

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  1. 1

    Countermovement jump force-time mechanics differentiate ACL injury status in elite alpine ski racers

    Morris, N., da Silva Torres, R., Heard, M., Doyle Baker, P., Herzog, W., Jordan, M. J.
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  2. 2

    Lower-body muscle volumes can explain half of the variance in sprint speed between collegiate American football players

    Martin, J. A., Joachim, M. R., Blemker, S. S., Opar, D. A., Mortensen, B., Heiderscheit, B. C.
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  3. 3

    Efficient talent identification in women`s football: a ranking-based approach for goal scoring analysis

    Song, S., Kim, H.-S.
    Published in PLOS ONE (2026)
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  4. 4

    A machine learning-based model for comprehensive assessment and classification of cross-country skiing athletes

    Chen, Q., Liu, Z., He, D., Tang, Y., Gao, Y.
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  5. 5

    Prediction of subjective fatigue in professional soccer players: a data-driven method to optimize training approach to the match

    Simonelli, C., Trecroci, A., Formenti, D., Rossi, A.
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  6. 6

    The application of deep learning human pose estimation in sport: a systematic review

    Aulton, C., Wakili, L., Strafford, B. W., Davids, K., Chiu, C.-Y.
    Published in Sports Medicine - Open (2025)
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  7. 7

    Machine learning analysis of intensity profiles and key indicators in standard microcycle of professional male soccer players

    Pillitteri, G., Musa, R. M., Clemente, F. M., Bongiovanni, T., Petrucci, M., Bianco, A., Beato, M., Battaglia, G.
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  8. 8

    AI based tool for monitoring intensity and fatigue in elite women handball

    Felice, F.
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  9. 9

    Multidisciplinary prediction of running-related injuries using machine learning

    Wu, H., Brooke-Wavell, K., Barnes, M. R., Awan, Z., Mastana, S., Allen, S., Blagrove, R. C.
    Published in npj digital medicine (2026)
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  10. 10

    Cognitive visual strategies are associated with delivery accuracy in elite wheelchair curling: insights from eye-tracking and machine learning

    Zhao, H., Du, W., Wang, C.
    Published in Frontiers in Psychology (2026)
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  11. 11

    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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  12. 12

    Reporting of generalized linear mixed models (GLMM) in sports sciences: A scoping review

    Casals, M., Fernández, D., Zumeta-Olaskoaga, L., Sánchez, A., Zuccolotto, P.
    Published in Journal of Sports Analytics (2025)
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  13. 13

    Positional contrasts in key techniques between men's and women's basketball at the Olympic level

    Zhang, Y., Wang, J., Tan, S.
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  14. 14

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

    Grivas, G. V., Safari, K.
    Published in Nutrients (2025)
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  15. 15

    Using unsupervised machine learning to characterize recovery patterns in elite canoe-kayak athletes across the Olympic training year

    Foucaud, A., Durand, F., Meric, H.
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  16. 16

    AI in Bundesliga match analysis - expected possession value (EPV) vs. expected goals (xG) to predict match outcomes in soccer

    Forcher, L., Forcher, L., Woll, A., Altmann, S.
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  17. 17

    A machine learning approach for saddle height classification in cycling

    Bing, F., Zhang, G., Wei, L., Zhang, M.
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  18. 18

    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)
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  19. 19

    Machine learning-based classification of ice hockey skating tasks using kinematic data

    Jlassi, O., Wilkie, E. W. C., Kelly, M., Renaud, P. J., Pearsall, D. J., Robbins, S. M., Dixon, P. C.
    Published in Sports Biomechanics (2025)
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  20. 20

    A professional assessment of training plans for muscle hypertrophy and maximal strength developed by generative artificial intelligence

    Havers, T., Jelonnek, C., Masur, L., Isenmann, E., Sperlich, B., Geisler, S., Düking, P.
    Published in Biology of Sport (2025)
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