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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
    “…technology…”
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  2. 2

    Entwicklung eines Multiagentensystems für die Simulation des Positionsangriffs im Handball unter Verwendung des MARS-Frameworks (Development of a multi-agent system for the simulation of the positional attack in handball using the MARS framework)

    Neitsch, L.
    Published 2024
    “…technology…”
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  3. 3

    Understanding acceleration-based load metrics: from concepts to implementation

    Freitas, J., Moreira, A., Carvalho, J., Conceição, F., Estriga, L.
    Published in Sensors (2025)
    “…technology…”
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  4. 4

    Measuring the bat-ball impact location from bat acceleration

    Lyu, B., Smith, L.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
    “…technology…”
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  5. 5

    The reliability of 20 m sprint time using a novel assessment technique

    Holmberg, P. M., Olivier, M. H., Kelly, V. G.
    Published in Sensors (2025)
    “…technology…”
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  6. 6

    Enhanced personalized prediction of baseball-related upper extremity injuries through novel features and explainable artificial intelligence

    Weng, Y.-H., Chang, P.-H., Wu, K.-P., Lin, J.-J., Huang, T.-S.
    Published in Journal of Sports Sciences (2025)
    “…technology…”
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  7. 7

    Evaluation of the PhySens as a wrist-worn wearable in pitch detection and biomechanical workload estimation

    Greenberg, E. M., Thomas, S. J., Kablan, J., Condon, J., Backstrom, E., Lawrence, J. T.
    Published in Sports Health: A Multidisciplinary Approach (2025)
    “…technology…”
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  8. 8

    A laboratory method to measure deformation of baseball infield soil surfaces using cleated footwear

    Mascitti, E. C., McNitt, A. S.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2024)
    “…technology…”
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  9. 9

    Using a sensor-embedded baseball to identify finger characteristics related to spin rate and pitching velocity in pitchers

    Yeh, M.-C., Yang, W.-W., Hung, Y.-H., Liu, Y.-C., Kung, J.-T., Ma, H.-P., Liu, C.
    Published in Sensors (2024)
    “…technology…”
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  10. 10

    Machine learning for handball game analysis using valid statistics linked to victory

    Kato, R., Kameda, T., Yamada, E., Fujimoto, H., Aida, H.
    Published in Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference. PACSS 2021 (2022)
    “…technology…”
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  11. 11

    Inelastic bouncing of a spherical ball in the presence of quadratic drag with application to sports balls

    Lubarda, M. V., Lubarda, V. A.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2024)
    “…technology…”
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  12. 12

    A field-expedient arm care screening tool can identify musculoskeletal risk factors in baseball players

    Matsel, K. A., Hoch, M. C., Butler, R. J., Westgate, P. M., Malone, T. R., Uhl, T. L.
    Published in Sports Health: A Multidisciplinary Approach (2023)
    “…technology…”
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  13. 13

    Exploring different forms of technology-enhanced learning strategies in a handball coach education program

    Murray, E., Spencer, K., Bennett, B.
    Published in International Sport Coaching Journal (2023)
    “…technology…”
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  14. 14

    Are 4D motion sensors valid and reliable for studying baseball pitching?

    Loushin, S. R., Verhoeven, M., Christoffer, D. J., Camp, C. L., Kaufman, K. R.
    Published in The American Journal of Sports Medicine (2023)
    “…technology…”
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  15. 15

    Estimation of baseball bat trajectory during a practice swing using a Kalman filter for velocity compensation

    Shibata, S., Hirose, K., Naruo, T., Shimizu Y.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2023)
    “…technology…”
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  16. 16

    Analysis of movement and activities of handball players using deep neural networks

    Host, K., Pobar, M., Ivasic-Kos, M.
    Published in Journal of Imaging (2023)
    “…technology…”
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  17. 17

    Künstliche Intelligenz im Leistungssport: Allheilmittel oder kühne Wunschvorstellung? (Artificial intelligence in competitive sport: panacea or bold pipe dream?)

    Lion, D.
    Published in Leistungssport (2023)
    “…technology…”
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  18. 18

    Relationship between anthropometrics composition, specific field tests and throwing ball velocity of male team handball players: Technology for assessments tools of Qatar handball...

    Alneama, A., Hermassi, S., Jabnoun, M., Chelly, M. S.
    Published in 27th Annual Congress of the European College of Sport Science (ECSS), Sevilla, 30. Aug - 2. Sep 2022 (2022)
    “…technology…”
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  19. 19

    Machine learning in sports industry: Discover promising athletes for the future of handball

    Nunes, M. C.
    Published in NOVA Information Management School (2023)
    “…technology…”
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  20. 20

    Design, validation, and reliability of an observational instrument for pivot influence on tactical effectiveness in team-handball

    Ávila-Moreno, F., Lozano-Jarque, D., Chirosa-Ríos, L. J., Ortega-Becerra, M.
    Published in Kinesiology (2022)
    “…technology…”
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