Search Results - Computational and Mathematical Methods

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  1. 1

    Influence of play type on the magnitude and number of head impacts sustained in youth american football

    Vale, A., Post, A., Cournoyer, J., Hoshizaki, T. B., Gilchrist, M. D.
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  2. 2

    Event detection in coarsely annotated sports videos via parallel multi-receptive field 1D convolutions

    Vats, K., Fani, M., Walters, P., Clausi, D. A., Zelek, J.
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  3. 3

    Automatic play segmentation of hockey videos

    Pidaparthy, H., Dowling, M. H., Elder, J. H.
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  4. 4

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

    Zheng, Y.
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  5. 5

    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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  6. 6

    A critical comparison of machine learning classifiers to predict match outcomes in the NFL

    Beal, R., Norman, T. J., Ramchurn, S. D.
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  7. 7

    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. “…Computational and Mathematical Methods…”
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  8. 8

    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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  9. 9

    Optimizing preseason training loads in Australian football

    Carey, D. L., Crow, J., Ong, K.-L., Blanch, P., Morris, M. E., Dascombe, B. J., Crossley, K. M. “…Mathematical optimization is a method that may help in this process, particularly as more data on training-load monitoring become available.5,6,10-12 Optimization is the task of finding a set of values (decision variables) that maximize an objective function (goal) and satisfy a set of constraints. …”
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  10. 10

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

    Favoritov, V., Gostishchev, V. “…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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  11. 11

    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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  12. 12

    An international perspective on topics in sports medicine and sports injury

    K. R. Zaslav
    Published 2012
    “…Prediction of Sports Injuries by Mathematical Models (Juan Carlos de la Cruz-Márquez, Adrián de la Cruz-Campos, Juan Carlos de la Cruz-Campos, María Belén Cueto-Martín, María García-Jiménez and María Teresa Campos-Blasco) 19. …”
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  13. 13

    Representing and discovering adversarial team behaviors using player roles

    Lucey, P., Bialkowski, A., Carr, P., Morgan, S., Matthews, I., Sheikh, Y.
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  14. 14

    The proceedings of the 13th Australasian Conference on Mathematics and Computers in Sport

    R. Stefani, A. Schembri
    Published 2016
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  15. 15

    Model of collective sport games

    Pavicic, L., Lozovina, M., Lozovina, V.
    Published in Acta Kinesiologica (2014)
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  16. 16

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

    Lopez, M. J., Matthews, G. J.
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  17. 17

    Prediction of american football plays using pattern recognition

    Strange, R., Shamir, L.
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  18. 18

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

    Rudelsdorfer, P., Schrapf, N., Possegger, H., Mauthner, T., Bischof, H., Tilp, M.
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  19. 19

    The use of binominal logistic regression in performance analysis in handball

    Volossovitch, A., Ferreira, A.P., Gonçalves, I.
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  20. 20

    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.
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