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  1. 1

    Comparison of weekly training load and acute:chronic workload ratio methods to estimate change in training load in running

    Cloosterman, K. L. A., de Vos, R.-J., van Oeveren, B., Visser, E., Bierma-Zeinstra, S. M. A., van Middelkoop, M.
    Published in Journal of Athletic Training (2024)
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  2. 2

    Accuracy of smartwatches in predicting distance running performance

    Dai, J., Chen, G., Gu, Z., Qi, Y., Xu, K.
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  3. 3

    Pacing strategies of 10 km elite open water swimmers with enhanced temporal resolution: World Swimming Championships Budapest 2022

    Fernández-Asensio, J. M., Rodríguez-Adalia, L., Hermosilla-Perona, F., Chaverri, D., Veiga, S.
    Published in Journal of Sports Sciences (2024)
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  4. 4

    Artificial intelligence in cycling - Live positional tracking using on-bike aerodynamic sensors

    Barnes, C., Hopker, J., Gibson, S.
    Published in Journal of Science and Cycling (2024)
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  5. 5

    Using inertial measurement units to examine selected joint kinematics in a road cycling sprint: a series of single cases

    Morbey, S., Tronslien, M., Kong, K., Chapman, D. W., Netto, K.
    Published in Sensors (2024)
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  6. 6

    Intensity distribution of collegiate cross-country competitions

    Perez, N., Miller, P., Farrell, J. W.
    Published in Sports (2024)
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  7. 7

    Front crawl in open-water: actual distance swun, kinematics, and arm stroke efficiency

    De Souza Castro, F. A., Guedes, J. P., Ongaratto, D., Gonzalez, D. H., Trindade, C. Z.
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  8. 8

    Cycling modelling under uncontrolled outdoor conditions using a wearable sensor and different meteorological measurement methods

    Millour, G., Plourde-Couture, F., Domingue, F.
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  9. 9

    Usage of the Qualisys above- and underwater system

    Fonseca, P., Betzler, N.
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  10. 10

    Comparison of different models of W' balance in high-level road cycling races

    Millour, G., Lajoie, C., Domingue, F.
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  11. 11

    FES TriaLog Schwimmsensor (FES TriaLog Swim Sensor)

    Hoffmeister, T., Ehmen, H.
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  12. 12

    Assessment of bike handling during cycling individual time trials with a novel analytical technique adapted from motorcycle racing

    Zignoli, A., Biral, F., Fornasiero, A., Sanders, D., van Erp, T., Mateo-March, M., Fontana, F. Y., Artuso, P., Menaspà, P., Quod, M., Giorgi, A., Laursen, P. B.
    Published in European Journal of Sport Science (2022)
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  13. 13

    GPS driven camera selection in cyclocross races for automatic rider story generation

    De Bock, J., Van Den Broeck, A., Verstockt, S.
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  14. 14

    Real-time power performance prediction in Tour de France

    Kataoka, Y., Gray, P.
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  15. 15

    A new instantaneous performance parameter for alpine skiing and individual sports

    Gilgien, M., Haugen, P., Reid, R.
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  16. 16

    Validation of GPS and accelerometer technology in swimming

    Beanland, E., Main, L. C., Aisbett, B., Gastin, P., Netto, K.
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  17. 17

    Validity and reliability of 5 Hz GPS for measurement of non-linear cycling distance and velocity

    Hurst, H. T., Sinclair, J.
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  18. 18

    Can GPS be used to detect deleterious progression in training volume among runners?

    Nielsen, R. O., Cederholm, P., Buist, I., Sorensen, H., Lind, M., Rasmussen, S.
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  19. 19

    Exploration and visualization of race biking performance

    Byshko, R.
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  20. 20

    Pacing during an elite Olympic distance triathlon: Comparison between male and female competitors

    Vleck, V. E., Bentley, D. J., Millet, G. P., Bürgi, A.
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