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  1. 1

    Development of a low-cost team performance tracking system

    Aydin, A., Özgünen, K. T., Keskinoglu, C., Talib, E. N., Dag, N. Y., Gezgin, E.
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  2. 2

    Visualisierung im Techniktraining: Mit der Kraft der Bilder (Visualization in technical training: Using the power of images)

    Kittel, T., Timpe, T., Mallach, M.
    Published in Volleyball-Magazin (2025)
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  3. 3

    Accuracy of three field-based devices for measuring counter movement jump performance in elite female volleyball players

    Wright, W. C., Fedewa, M. V., Aguiar, E. J., Winchester, L. J., Schumacker, R. E., Esco, M. R.
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  4. 4

    Validity and reliability of the my jump® 2 app to measure vertical jump performance in beach volleyball players

    Pereira de Souza, L. A., Freitas Nunes, J. T., Ghedini Gheller, R., Martins de Souza, G. P., Libardoni dos Santos, J. O., de Souza Bezerra, E.
    Published in Apunts Sports Medicine (2025)
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  5. 5

    Innovationen durch KI (Innovations through AI)

    Tobias, F.
    Published in Volleyball-Magazin (2025)
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  6. 6

    Validation of the WIMU PRO™ device for jump detection in beach volleyball: a gender-based analysis during official competitions

    Marzano-Felisatti, J. M, Pino-Ortega, J., Garcia-de-Alcaraz, A., Portillo, J., Guzmán-Luján, J. F., Priego-Quesada, J. I.
    Published in Journal of Human Kinetics (2025)
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  7. 7

    VNL-STES: a benchmark dataset and model for spatiotemporal event spotting in volleyball analytics

    Nguyen, H., Jamsrandorj, A., Chao, V., Oo, Y. M., Robbani, M. A., Mun, K.-R., Kim, J.
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  8. 8

    Jump-Aware: player position rectification and identification in dynamic sports using jump event spotting

    Oo, Y. M., Jamsrandorj, A., Chao, V., Nguyen, H. Q., Hwang, Y., Mun, K.-R., Kim, J.
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  9. 9

    Quantification of workload and characterisation of key performance factors in elite adolescent female volleyball players using machine learning

    Bouzigues, T., Candau, R., Äyrämö, S., Maurelli, O., Prioux, J.
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  10. 10

    Associations between internal and external load parameters and match outcomes in men`s volleyball: a machine learning approach

    Lima, R. F., Musa, R. M., de Oliveira Castro, H., Clemente, F. M.
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  11. 11

    Testing protocol for evaluating underhand serve-reception biomechanics in volleyball

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  12. 12

    Das enge Spielkonzept - Wunsch oder Realität? - (The narrow game concept - wish or reality? -)

    Czimek, J., Finkenzeller, M.
    Published in Volleyball-Magazin (2025)
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  13. 13

    The reliability of a commonly used (CatapultTM Vector S7) microtechnology unit to detect movement characteristics used in court-based sports

    Mackay, L., Sawczuk, T., Jones, B., Darrall-Jones, J., Clark, A., Whitehead, S.
    Published in Journal of Sports Sciences (2025)
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  14. 14

    Analysing physical performance indicators measured with electronic performance tracking systems in men's beach volleyball formative stages

    Marzano-Felisatti, J. M., Martínez-Gallego, R., Pino-Ortega, J., García-de-Alcaraz, A., Priego-Quesada, J. I., Guzmán Luján, J. F.
    Published in Sensors (2024)
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  15. 15

    Validation of impact forces estimated by the wearable device VERT in volleyball.

    De Bleecker, C., Vermeulen, S., Willems, T., Segers, V., Spanhove, V., Leys, R., Vanrenterghem, J., De Ridder, R.
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  16. 16

    Videogestütztes Antizipationstraining im Beach-Volleyball - Entwicklung einer Antizipations-Trainingssoftware für die Block-Abwehr als Vorbereitung auf die Olympischen Spiele Paris... (Video-based anticipation training in beach volleyball - development of anticipation training software for block defence in preparation for the Paris 2024 Olympic Games)

    Lang, S., Tobias, F., Singh, D., Link, D.
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  17. 17

    Artificial intelligence in providing the first and second signal systems with polysensory information for precise coordination of volleyball players actions

    Khaupshev, M. K., Bazhev, A. Z., Khezhev, A. A., Bazhev, A. A.
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  18. 18

    Evaluation of a beach volleyball skill instrument for the line shot attack

    Giatsis, G., Lola, A., Hatzimanouil, D., Tzetzis, G.
    Published in Journal of Physical Education (2024)
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  19. 19

    Enhancing volleyball training: empowering athletes and coaches through advanced sensing and analysis

    Salim, F., Postma, D. B., Haider, F., Luz, S., Beijnum, B. J. V., Reidsma, D.
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  20. 20

    Applying unsupervised machine learning models to identify serve performance related indicators in women`s volleyball

    Casimiro-Artés, M. Á., Hileno, R., Garcia-de-Alcaraz, A.
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