Search Results - Computational and Mathematical Methods

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  1. 1

    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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  2. 2

    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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  3. 3

    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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  4. 4

    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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  5. 5

    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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  6. 6

    Determination of aerodynamic properties of javelin by means of computational fluid dynamics

    González-Martinez, A., Martinez-Rodriguez, A., Laffita-Leyva, A.
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  7. 7

    Predicting Win-Loss outcomes in MLB regular season games - A comparative study using data mining methods

    Soto Valero, C.
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  8. 8

    Model of collective sport games

    Pavicic, L., Lozovina, M., Lozovina, V.
    Published in Acta Kinesiologica (2014)
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  9. 9

    Extracting individual offensive production from baseball run distributions

    Robinson, S. J.
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  10. 10

    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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  11. 11

    The use of binominal logistic regression in performance analysis in handball

    Volossovitch, A., Ferreira, A.P., Gonçalves, I.
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  12. 12

    A new technology for resolving the dynamics of a swinging bat

    King, K., Hough, J., McGinnis, R., Perkins, N. C.
    Published in Sports Engineering (2012)
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  13. 13

    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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  14. 14

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

    Skarbalius, A., Strielciunas, R., Purvys, D. “…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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  15. 15

    Sports Biomechanics Laboratory Davis University California

    “…The emphasis is on developing mathematical and computational models for events which allow increased understanding, performance evaluation and optimization, as well as intelligent implement and vehicle design. …”
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