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  1. 1

    Olympic snow sports: current insights and future directions for Milano Cortina 2026 and beyond

    Zoppirolli, C., Fornasiero, A., Spörri, J., Losnegard, T., Elfmark, O. A., Sandbakk, Ø., Holmberg, H.-C.
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  2. 2

    BMX race-start dynamics: Coupling on-track measurements and physics-based modelling for performance optimisation

    Fortier, A., Violain, M., Brunet, E., Clanet, C.
    Published in Journal of Science and Cycling (2025)
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  3. 3

    TAR-YOLO: A novel deep learning model and dataset for tennis action recognition

    Chen, B., Du, L., Fang, W., Cen, Y., Mou, C., Peng, J., Jin, L., Peng, X.
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  4. 4

    Self-perceived middle-distance race pace is faster in advanced footwear technology spikes

    Bertschy, M., Rodrigo-Carranza, V., Wilkie, E. W. C., Healey, L. A., Noble, J., Albert, W. J., Hoogkamer, W.
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  5. 5

    Ethical implications of artificial intelligence in sport: A systematic scoping review

    Kim, J.-H., Kim, J., Kang, H., Youn, B.-Y.
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  6. 6

    Female cyclists' experiences of saddle sores and their effect on cycling

    Burnie, L., Burt, P., Lindsay, K., Heron, N., Ansdell, P., Pastorio, E., Hicks, K. M., Brown, N.
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  7. 7

    Validity and reliability of a novel AI-based system in athletic performance assessment: the case of DeepSport

    Aydemir, B., Aydogan, M. T., Boz, E., Kul, M., Kirkbir, F., Özkara, A. B.
    Published in Sensors (2025)
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  8. 8

    Integrating inertial sensors to assess physical performance and in-match demands for the international selection of cerebral palsy football players

    Maggiolo, J. F., Reina, R., Moya-Ramón, M., Peña-González, I.
    Published in Sensors (2025)
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  9. 9

    Use of inertial measurement units for detection of the support phases in discus throwing

    Sánchez-Moreno, J., Moreno-Salinas, D., Álvarez-Ortiz, J. C.
    Published in Sensors (2025)
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  10. 10

    Physical workload patterns in U-18 basketball using LPS and MEMS data: a principal component analysis by quarter and playing position

    Ibáñez, S. J., Rico-González, M., Gómez-Carmona, C. D., Pino-Ortega, J.
    Published in Sensors (2025)
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  11. 11

    Effects of transcranial electrical stimulation on intermuscular coherence in WuShu sprint and KAN-based EMG-performance function fitting

    Li, L., Li, H., Fan, Q.
    Published in Sensors (2025)
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  12. 12

    Causal effect analysis of serving performance using double machine learning

    Ma, J., Zou, F.
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  13. 13

    500 m speed skating performance analysis: focusing on 22/23 and 23/24 seasons

    Song, J. H.
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  14. 14

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
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  15. 15

    Determining critical power and W' in running: Accuracy of different two-point models using the power metric

    Ruiz-Alias, S. A., Ñancupil-Andrade, A. A., Pérez-Castilla, A., García-Pinillos, F.
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  16. 16

    The informative power of heart rate along with machine learning regression models to predict maximal oxygen consumption and maximal workload capacity

    Gentilin, A.
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  17. 17

    Validity and reliability of ergonauta encoder to assess countermovement jump performance

    Gheller, R. G., Kons, R. L., Külkamp, W., Dal Pupo, J., Detanico, D.
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  18. 18

    Horse gait analysis using wearable inertial sensors and machine learning

    Rana, M., Mittal, V.
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  19. 19

    The concurrent validity and reliability of the My Jump Lab smartphone app for the real-time measurement of vertical jump performance

    Sentürk, D., Yüksel, O., Akyildiz, Z.
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  20. 20

    Field-based upper-body motor variability as determinant of stroke performance in the main tennis strokes

    Ruiz-Malagón, E. J., Vanrenterghem, J., Ritacco-Real, M., González-Fernández, F. T., Soto-Hermoso, V. M., Delgado-García, G.
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