Search Results - Computational and Mathematical Methods

  • Showing 1 - 18 results of 18
Refine Results
  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.
    Save to List
    Saved in:
    Access source
  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. …”
    Save to List
    Saved in:
    Access source
  3. 3

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

    Beal, R., Norman, T. J., Ramchurn, S. D.
    Save to List
    Saved in:
    Access source
  4. 4

    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…”
    Save to List
    Saved in:
    Access source
  5. 5

    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. …”
    Save to List
    Saved in:
    Access source
  6. 6

    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. …”
    Save to List
    Saved in:
    Access source
  7. 7

    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. …”
    Save to List
    Saved in:
    Access source
  8. 8

    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. …”
    Save to List
    Saved in:
    Access source
  9. 9

    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. …”
    Save to List
    Saved in:
    Access source
  10. 10

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

    R. Stefani, A. Schembri
    Published 2016
    Save to List
    Saved in:
    Access source
  11. 11

    The 33rd International Conference on Biomechanics in Sports

    University of Poitiers
    Published 2015
    “…Wells [et al.] 448 A simple method to calibrate kinematical invariants: application to overhead throwing, A. …”
    Save to List
    Saved in:
    Access source
  12. 12

    Model of collective sport games

    Pavicic, L., Lozovina, M., Lozovina, V.
    Published in Acta Kinesiologica (2014)
    Save to List
    Saved in:
    Access source
  13. 13

    Prediction of american football plays using pattern recognition

    Strange, R., Shamir, L.
    Save to List
    Saved in:
    Access source
  14. 14

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

    Rudelsdorfer, P., Schrapf, N., Possegger, H., Mauthner, T., Bischof, H., Tilp, M.
    Save to List
    Saved in:
    Access source
  15. 15

    The use of binominal logistic regression in performance analysis in handball

    Volossovitch, A., Ferreira, A.P., Gonçalves, I.
    Save to List
    Saved in:
    Access source
  16. 16

    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.
    Save to List
    Saved in:
    Access source
  17. 17

    Mathematical modelling and optimization of snatch lift technique

    Nejadian, S. L., Rostami, M.
    Save to List
    Saved in:
    Access source
  18. 18

    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. …”
    Save to List
    Saved in:
    Access source

Search Tools: