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Search Results - Computational and Mathematical Methods

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  1. 1

    Video analysis and 3D detection simulation of jump shot precision for basketball players

    Zheng, Y.
    Published in Revista Brasileira de Medicina do Esporte (2021)
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  2. 2

    Innovacionnaja tehnologija komp'juternogo testirovanija psihomotoriki v sportivnyh igrah (Innovative technology in computer testing of psycho-motor in team sports)

    Lisenchuk, G., Tyshchenko, V.
    Published in Science in Olympic Sport (2019)
    “…Methods. Analysis of scientific and methodical literature, pedagogical observations and experiments and methods of mathematical statistics. …”
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  3. 3

    A data-driven approach to predict the most valuable player in a game

    Romero, F. P., Lozano-Murcia, J., Lopez-Gomez, J. A., Angulo, E., Sanchez-Lopez, E.
    Published in Computational and Mathematical Methods (2021)
    “…Computational and Mathematical Methods…”
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  4. 4

    Modelling and simulation in sport and exercise

    A. Baca, J. Perl
    Published 2020
    “…This is an important reference for any active researcher or upper-level student in sport and exercise science with an interest in mathematical modelling, computer science or simulation techniques. …”
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  5. 5

    Assessment of the effectiveness of biological and pharmacological support for training at the preparatory stage for handball players

    Favoritov, V., Gostishchev, V.
    Published in Slobozhanskyi herald of science and sport (2019)
    “…In the process of the experiment, the following methods were used: analysis of scientific and methodological literature, generalization of practical experience, pedagogical observations, methods for assessing functional readiness using computer technologies, methods of mathematical statistics. …”
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  6. 6

    Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support, September 20-21, 2019, in Vienna, Austria

    J. Vilas-Boas, P. Pezarat-Correia, J. Cabri
    Published 2019
    “…Gordon; DOI:10.5220/0008165600640075 Simulation Model for Road Cycling Time Trials with a Non-constant Drag Area; P. 76 - 83; Eivind Rømcke , Elias Sørensen , Petter Aas , Lars Bardal , Steinar Harneshaug , Magnus Lian , Luca Oggiano and Scott Drawer ; DOI:10.5220/0008165800760083 Vision-based Detection of Humans on the Ground from Actual Aerial Images by Informed Filters using Only Color Features; P. 84 - 89; Takuro Oki , Risako Aoki , Shingo Kobayashi , Ryusuke Miyamoto , Hiroyuki Yomo and Shinsuke Hara; DOI:10.5220/0008166000840089 Soccer Players` Agility: Complex Laboratory Testing for Differential Training; P. 90 - 96; Anna Zakharova , Kamiliia Mekhdieva , Vasiliy Krasilnikov and Varvara Timokhina; DOI:10.5220/0008166700900096 Exercise Testing of Elite Rowers: Comparison of Methods and Protocols; P. 97 - 102 ; Kamiliia Mekhdieva , Anna Zakharova and Varvara Timokhina; DOI:10.5220/0008166900970102 A Solution of a Mathematical Model Which Simulates Football Game as a Logistics Network; P. 105 - 112; Kenan Mengüç ; DOI:10.5220/0007917801050112 Body Composition and Segmental Bioimpedance Phase Angle in Elite Volleyball Players; P. 113 - 116; Olivia Di Vincenzo , Maurizio Marra , Rosa Sammarco , Enza Speranza and Luca Scalfi; DOI:10.5220/0007945701130116 Automated Shoe Last Customization using MATLAB Algorithm; P. 117 - 122; T. …”
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  7. 7

    Model of collective sport games

    Pavicic, L., Lozovina, M., Lozovina, V.
    Published in Acta Kinesiologica (2014)
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  8. 8

    Building an NCAA men`s basketball predictive model and quantifying its success

    Lopez, M. J., Matthews, G. J.
    Published in Journal of Quantitative Analysis in Sports (2015)
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  9. 9

    A novel method for the analysis of sequential actions in team handball

    Rudelsdorfer, P., Schrapf, N., Possegger, H., Mauthner, T., Bischof, H., Tilp, M.
    Published in International Journal of Computer Science in Sport (2014)
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  10. 10

    The use of binominal logistic regression in performance analysis in handball

    Volossovitch, A., Ferreira, A.P., Gonçalves, I.
    Published in International Journal of Computer Science in Sport (2002)
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  11. 11

    Measuring handball players trajectories using an automatically trained boosting algorithm

    Barros, R. M. L., Menezes, R. P., Russomanno, T. G., Misuta, M. S., Brandatildeo, B. C., Figueroa, P. J., Leite, N. J., Goldenstein, S. K.
    Published in Computer Methods in Biomechanics and Biomedical Engineering (2011)
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  12. 12

    The analysis of Lithuanian men's national handball team in the qualification of the XVIII World Championship

    Skarbalius, A., Strielciunas, R., Purvys, D.
    Published in Education. Physical training. Sport (2004)
    “…The methods of mathematical statistics (mean ± SD, variation coefficient, reliability of meaning differences determined by Student criterion t (significance level p < 0.05)) were used to determine the differences between the indicators of playing peculiarities of the elite national teams and the former playing of Lithuanian National Team. …”
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