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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
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  2. 2

    Agility in handball: Position- and age-specific insights in performance and kinematics using proximity and wearable inertial sensors

    Heuvelmans, P., Gokeler, A., Benjaminse, A., Baumeister, J., Büchel, D.
    Published in Sensors (2025)
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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)
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  4. 4

    Are fluctuations in physical performance affected by contextual fafctors in women`s handball matches? An analysis using five-minute fixed phases

    García-Sánchez, C., Navarro, R. M., Nieto-Acevedo, R., de la Rubia, A.
    Published in Biology of Sport (2025)
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  5. 5

    Concurrent validity and reliability of devices to measure jump height in men`s handball players

    Soler-López, A., García-de-Alcaraz, A., Moreno-Villanueva, A., Pino-Ortega, J.
    Published in Sensors (2022)
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  6. 6

    spinfortec2020digital: 13. Symposium der dvs-Sektion "Sportinformatik und Sporttechnologie" vom 24.-25. September 2020 in Bayreuth (spinfortec2020digital: 13th Symposium of the dvs Section "Sports Informatics and Sports Technology" from 24th to 25th September 2020 in Bayreuth)

    U. Fehr, V. Werner, N. Wulff, J. Knietig, M. Frisch
    Published 2020
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  7. 7

    Reliability of wearable microsensors to measure physical activity in handball

    Spencer, M., Holme, B. R., Luteberget, L. S.
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  8. 8

    Wearable microsensor technology to measure physical activity demands in handball: a reliability study of inertial movement analysis and player load

    Holme, B. R.
    Published 2015
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