Search Results - "mathematic-logical model"

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  1. 1

    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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  2. 2

    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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  3. 3

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

    Grivas, G. V., Safari, K.
    Published in Nutrients (2025)
    “…mathematic-logical model…”
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  4. 4

    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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  5. 5

    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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  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)
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  7. 7

    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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  8. 8

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

    Shunko, A. “…mathematic-logical model…”
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  9. 9

    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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  10. 10

    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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  11. 11

    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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  12. 12

    VO2FITTING software: New insights and practical applications (VO2FITTING software update)

    Monteiro, A. S. M., Azevedo, R. M. S., Zacca, R., Ogonowska-Slodownik, A., Buzzachera, C. F., Vilas-Boas, J. P., Fernandes, R. J.
    Published in Journal of Human Kinetics (2025)
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  13. 13

    Reliability of the durability concept in professional cyclists: a field-based study

    Mateo-March, M., Barranco-Gil, D., Hernández-Belmonte, A., Javaloyes, A., Muriel, X., Pallarés, J. G., Lucia, A., Valenzuela, P. L. “…mathematic-logical model…”
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  14. 14

    Prediction of perceived exertion ratings in national level soccer players using wearable sensor data and machine learning techniques

    Leppich, R., Kunz, P., Bauer, A., Kounev, S., Sperlich, B., Düking, P. “…mathematic-logical model…”
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  15. 15

    A multidimensional prediction model for overtraining risk in youth soccer players: integrating physiological and psychological markers

    Qian, H., Lee, S.
    Published in Journal of Sports Sciences (2025)
    “…mathematic-logical model…”
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  16. 16

    Machine learning in rugby union: predicting and identifying key performance indicators for professional rugby union players in match play based workload

    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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  17. 17

    Short Report: Estimating blood lactate dynamics from sweat lactate and sweat rate after high-intensity exercise - A pilot regression-based study

    Hattori, M., Yashiro, K. “…mathematic-logical model…”
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  18. 18

    Optimising the exchange: a review of baton passing strategies in 4x100 m relay

    Rosculet, I., Tomescu, G., Dulceata, V.
    Published in Science, Movement & Health (2025)
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  19. 19

    Reliability and validity of an AI-driven smartphone application for measuring countermovement jump height: a comparison with force platform, infrared optical timing, and manual vid...

    Ríos-Gallardo, P. T., Carranza-García, L. E., Balsalobre-Fernández, C., Montalvo, S. “…mathematic-logical model…”
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  20. 20

    Classification of success/failure in weightlifting snatch using a machine learning model based on barbell kinematics

    Kim, S., Moon, J. “…mathematic-logical model…”
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