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  1. 1

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
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  2. 2

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
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  3. 3

    Aerodynamic comparisons between Al Rihla and recent World Cup soccer balls

    Goff, J. E., Hong, S., Asai, T.
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  4. 4

    Validating a markerless motion capture application in simulated snowboarding

    Evans, S., Merz, C., Friedl, F.
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  5. 5

    On the curved skate technique of speed skating

    van der Eb, J., Yeadon, M. R. F.
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  6. 6

    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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  7. 7

    Synthetic data for sharing and exploration in high-performance sport: considerations for application

    Warmenhoven, J., Impellizzeri, F. M., Shrier, I., Vigotsky, A. D., Lolli, L., Menaspà, P., Coutts, A. J., Fanchini, M., Hooker, G.
    Published in Sports Medicine (2025)
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  8. 8

    Development of a coupled experimental-numerical methodology using an instrumented human head replica for impact testing

    Baldoin, E., Zullo, G., Carraretto, P., Koptyug, A., Pavan, P. G., Petrone, N.
    Published in Sports Engineering (2025)
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  9. 9

    Skill training in multimodal virtual environments

    Gopher, D., Krupenia, S., Gavish, N.
    Published in Advances in Cognitive Ergonomics (2010)
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  10. 10

    Efficient computation of tournament winning probabilities

    Brandes, U., Marmulla, G., Smokovic, I.
    Published in Journal of Sports Analytics (2025)
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  11. 11

    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
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  12. 12

    Speed fluctuation during a 10 km run affects subjective exertion and blood lactate levels of world-class athletes

    Takii, Y., Sumi, D., Matsunaga, R., Ko, Y., Marcora, S., Taniguchi, N., Sakaguchi, M.
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  13. 13

    Multi-person physics-based pose estimation for combat sports

    Feizollah Zadeh Khoiee, H., Labbe, D., Romeas, T., Faubert, J., Andrews, S.
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  14. 14

    Immersive virtual reality and augmented virtuality in sport and performance psychology: opportunities, current limitations, and practical recommendations

    Gerwann, S., Baetzner, A. S., Hill, Y.
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  15. 15

    Contemporary methods and technological advancements for evaluating the swiftness and precision of thrusts in swordsmanship

    Britskiy V. A., Aikin V. A.
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  16. 16

    Propulsive and braking contribution of the lower limbs, trunk, and upper limbs during underwater undulatory swimming calculated from vortices distribution: A simulation study

    Tanaka, T., Hashizume, S., Kurihara, T., Isaka, T.
    Published in Journal of Biomechanics (2025)
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  17. 17

    Key technical factors and steadiness in Olympic and regional sailors in ILCA class: insights from a sailing simulator study

    Oriol, A. A., Ion, C. G., Segado, F. S., Alberto, E. M., Serrano, A. M.
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  18. 18

    Estimating sagittal knee and ankle moment during running using only inertial measurement units: a top-down inverse dynamics approach

    van Middelaar, R. P., van Rijswijk, N. T., Wouda, F. J., Veltink, P. H., Reenalda, J.
    Published in Sports Biomechanics (2025)
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  19. 19

    Development of a 3D-knee brace joint using MRI data and a genetic algorithm

    Schmid, Q. T., Ruschke, S., Karampinos, D. C., Senner, V.
    Published in Sports Engineering (2025)
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  20. 20

    Simulation study for the motion classification using the radar and the 3D motion analysis system

    Eom, C. H., Chun, S. B., Kim, B. S., Joo, S. Y., You, J. H., Yoon, J. S., Han, S. J., Park, J. C., Park, S. H.
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