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  1. 401

    Machine learning-based classification of Taekwondo Poomsae side kick performance using kinematic parameters and physical characteristics

    Hwang, U.-J., Jung, S.-H., Ji, H.-C., Choi, S.-A., Bang, I.-J.
    Published in Sports Biomechanics (2025)
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  2. 402

    Reliability and validity of an AI-driven smartphone application for measuring countermovement jump height: a comparison with force platform, infrared optical timing, and manual vid...

    Ríos-Gallardo, P. T., Carranza-García, L. E., Balsalobre-Fernández, C., Montalvo, S.
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  3. 403

    Construction and application of the technical and tactical efficiency evaluation model for table tennis matches based on grey correlation

    Yin, H., Zhou, Y., Chen, X., Zhou, L.
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  4. 404

    The reliability and validity of DrGoniometer, a smartphone application for measuring elbow flexion

    Sahbaz, Y., Ilez, A., Batur, N.
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  5. 405

    Sex-specific metabolic and biomechanical responses to advanced footwear technology

    Matties, J. R., Rowley, K. M.
    Published in Footwear Science (2025)
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  6. 406

    Classification of success/failure in weightlifting snatch using a machine learning model based on barbell kinematics

    Kim, S., Moon, J.
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  7. 407

    Leveraging artificial intelligence and machine learning in sport sciences: a systematic literature review of applications, outcomes, and future directions

    Kumar, R., Bogia, P., Haq, A. U., Singh, V., Reddy, T. O.
    Published in Sport Sciences for Health (2025)
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  8. 408

    Zukunftstechnologien für den Spitzensport: Möglichkeiten und Grenzen (Future technologies for elite sport: possibilities and limits)

    Institut für Angewandte Trainingswissenschaft
    Published in Leistungssport (2025)
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  9. 409

    Developing an artificial intelligence system to analyse and evaluate performance technical kata movements in karate

    Kadhim, E. J., Almayah, S. K., Aldewan, L. H. M., Ghazi, M. A.
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  10. 410

    Sex-specific relationships between sprint swim performance and tethered swimming in high-performance swimmers

    Keating, R., Kennedy, R., McCabe, C.
    Published in Sports Biomechanics (2025)
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  11. 411

    Elite U17 football players` physical parameters: focus on contextual variables during training and matches

    Kádár, L., Révész, L., Sáfár, S., Géczi, G., Bognár, J., Csáki, I.
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  12. 412

    Technological innovations in sports science for sustainable sports development in Nigeria

    Akameze, J. N., Tyoakaa, A. A., Akameze, G. C.
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  13. 413

    Kinematics and kinetics of pick-up acceleration

    Pryer, M. E., Cronin, J., Neville, J., Uthoff, A.
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  14. 414

    Kinematics and performance on uphill and downhill trail running in elite and well-trained athletes

    Bettega, S., Pellegrini, B., Viscioni, G., Fornasiero, A., Bortolan, L., Schena, F., Zoppirolli, C.
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  15. 415

    An introduction to performance analysis in sport

    Cullinane, A., Davies, G., O'Donoghue, P.
    Published 2024
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  16. 416

    Quantification of workload and characterisation of key performance factors in elite adolescent female volleyball players using machine learning

    Bouzigues, T., Candau, R., Äyrämö, S., Maurelli, O., Prioux, J.
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  17. 417

    Associations between internal and external load parameters and match outcomes in men`s volleyball: a machine learning approach

    Lima, R. F., Musa, R. M., de Oliveira Castro, H., Clemente, F. M.
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  18. 418

    Automated rowing event assignment: a machine learning approach

    Li, Y., Koldenhoven, R. M., Jiwan, N. C., Zhan, J., Liu, T.
    Published in Sports Biomechanics (2025)
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  19. 419

    Test-retest and intrasession reliability of assisted sprint outcome measurements using a motorized resistance device

    Eriksrud, O., Westheim, F.
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  20. 420

    Swimming speed comparison between two distinct arm pulls during the butterfly swim stroke

    Morais, J. E., Marinho, D. A., Neiva, H. P., Moriyama, S.-I., Barbosa, T. M.
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