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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

    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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  3. 3

    Effect of simulated handball match-induced fatigue on isokinetic hamstring-to-quadriceps ratio and evertor-to-invertor ratio in professional players

    Shirani Dastjerdi, A., Esmaeili, H., Sadeghi, M., Bashiri, B.
    Published in PLOS ONE (2025)
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  4. 4

    Automatic segmentation and contextualization of elite handball matches with machine learning

    Bassek, M., Raabe, D., Banning, A., Memmert, D.
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  5. 5

    A comparison of tournament systems for the men`s World Handball Championship

    Donoghue, P., Kristjánsdóttir, H., Halldórsson, K., Þorgeirsson, S.
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  6. 6

    Efficiency index used to assess shoulder stress in college softball pitchers throughout a simulated game

    Nebel, A. R., Fava, A. W., Bordelon, N. M., Oliver, G. D.
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  7. 7

    Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning

    Nakahara, H., Takeda, K., Fujii, K.
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  8. 8

    Results of inverse dynamics calculations in javelin throwing are strongly influenced by individual body segment properties

    Köhler, H.-P., Schüler, A., Roemer, K., Witt, M.
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  9. 9

    Muscle force patterns in lower extremity muscles for elite discus throwers, javelin throwers and shot-putters - a case study

    Lyson-Uklanska, B., Blazkiewicz, M., Kwacz, M., Wit, A.
    Published in Journal of Human Kinetics (2021)
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  10. 10

    Developing commotio cordis injury metrics for baseball safety: unravelling the connection between chest force and rib deformation to left ventricle strain and pressure

    Dickey, G. J., Bian, K., Khan, H. R., Mao, H.
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  11. 11

    The effects of sex and landing task on hip mechanics

    Weinhandl, J. T., Irmischer, B. S., Bennett, H. J.
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  12. 12

    Optimal mass of the arm segments in throwing: A two-dimensional computer simulation study

    Fasbender, P., Korff, T. J., Baltzopoulos, V. B., Linthorne, N. P.
    Published in European Journal of Sport Science (2021)
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  13. 13

    Modelling and simulation in sport and exercise

    A. Baca, J. Perl
    Published 2020
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  14. 14

    360° virtual reality: A SWOT analysis in comparison to virtual reality

    Kittel, A., Larkin, P., Cunningham, I., Spittle, M.
    Published in Frontiers in Psychology (2020)
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  15. 15

    Effects of a simulated game on pitching kinematics in youth softball pitcher

    Downs, J., Friesen, K., Anz, A. W., Dugas, J. R., Andrews, J. R., Oliver, G. D.
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  16. 16

    COVID-19 countermeasures, Major League Baseball, and the home field advantage: Simulating the 2020 season using logit regression and a neural network

    Ehrlich, J., Ghimire, S.
    Published in F1000Research (2020)
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  17. 17

    Virtual thrower versus real goalkeeper: The influence of different visual conditions on performance

    Vignais, N., Kulpa, R., Craig, C., Bideau, B.
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  18. 18

    Influence of different work and rest distributions on performance and fatigue during simulated team handball match play

    Moss, S. L., Twist, C.
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  19. 19

    Modeling spatial batting ability using a known covariance matrix

    Cross. J., Sylvan, D.
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  20. 20

    Application of induced acceleration analysis and computer simulation in sports

    Kepple, T.
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