Search Results - "mathematic-logical model"

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  1. 1

    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)
    “…mathematic-logical model…”
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  2. 2

    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)
    “…mathematic-logical model…”
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  3. 3

    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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  4. 4

    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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  5. 5

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

    Zhang, Y., Wang, J., Tan, S. “…mathematic-logical model…”
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  6. 6

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

    Grivas, G. V., Safari, K.
    Published in Nutrients (2025)
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  7. 7

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

    Foucaud, A., Durand, F., Meric, H. “…mathematic-logical model…”
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  8. 8

    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. “…mathematic-logical model…”
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  9. 9

    A machine learning approach for saddle height classification in cycling

    Bing, F., Zhang, G., Wei, L., Zhang, M. “…mathematic-logical model…”
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  10. 10

    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)
    “…mathematic-logical model…”
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  11. 11

    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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  12. 12

    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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  13. 13

    Decoding speed climbing: AI-powered biomechanical analysis of elite performance

    Shunko, A. “…mathematic-logical model…”
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  14. 14

    Exploring body composition and physical condition profiles in relation to playing time in professional soccer: a principal components analysis and Gradient Boosting approach

    Ulloa-Díaz, D., Fábrica-Barrios, G., Jorquera-Aguilera, C., Guede-Rojas, F., Pérez-Contreras, J., Lozano-Jarque, D., Carvajal-Parodi, C., Romero-Vera, L.
    Published in Frontiers in Physiology (2025)
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  15. 15

    Experimental exploration of artificial intelligence and ADAMS simulation technology in the teaching of vertical hoop upward throw in rhythmic gymnastics

    Ren, Q., Ma, Z.
    Published in PLOS ONE (2025)
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  16. 16

    The practical value of bayesian inference in describing the epidemiology of sports injuries

    Chandran, A., Clarsen, B., Varley, I., Khan, K., Marshall, S. W., Bahr, R.
    Published in Sports Medicine (2025)
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  17. 17

    An analysis of the 6-h ultra-marathon race using a machine learning approach

    Thuany, M., Weiss, K., Valero, D., Villiger, E., Andrade, M. S., Nikolaidis, P. T., Scheer, V., de Lira, C. A. B., Vancini, R. L., Cuk, I., Braschler, L., Rosemann, T., Knechtle, B. “…mathematic-logical model…”
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  18. 18

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

    Weirich, C., Kim, J. W., Yoon, Y., Jeong, S. “…mathematic-logical model…”
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  19. 19

    Advanced feature engineering in acute:chronic workload ratio (ACWR) calculation for injury forecasting in elite soccer

    Matas-Bustos, J. B., Mora-García, A. M., de Hoyo Lora, M., Nieto-Alarcón, A., Gonzalez-Fernández, F. T.
    Published in PLOS ONE (2025)
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  20. 20

    Beyond playing positions: categorizing soccer players based on match-specific running performance using machine learning

    de Haan, M., van der Zwaard, S., Sanders, J., Beek, P. J., Jaspers, R. T. “…mathematic-logical model…”
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