Search Results - "technical and natural sciences"

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  1. 1

    A composite biomechanical index for dynamic postural control in Canadian canoe athletes

    Vando, S., Racil, G., Martone, D., Padulo, J.
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    “…technical and natural sciences…”
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  2. 2

    The influence of different starting block distances on internal tibial load in elite sprinters

    Lu, Z., Shao, E., Sun, D., Wen, J., Goda, T. J., Song, Y., Zhu, J., Gu, Y.
    Published in Journal of Applied Biomechanics (2026)
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    “…technical and natural sciences…”
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  3. 3

    Development of an automated system to obtain the planar velocity of individual players from 2D video of youth ice hockey games

    Dehghan, P., Azadi, A., Karton, C., Clouthier, A., Hoshizaki, T. B.
    Published in Sports Engineering (2026)
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    “…technical and natural sciences…”
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  4. 4

    Predicting 2000-meter indoor rowing performance using accessible machine learning models

    Jaggi, A. S., Dandia, H.
    Published in Journal of Applied Data Sciences (2026)
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    “…technical and natural sciences…”
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  5. 5

    The concurrent validity and test-retest reliability of a smartphone-based markerless system

    Nicholson, K. F., Duane, J. J., Carter, W., Fernandez, G., Wolf, J., Butler, R. J., Bullock, G. S.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  6. 6

    Accuracy and validity of 3D markerless motion capture compared to marker-based systems for lower-limb biomechanical assessment: A systematic review

    Chougule, A., Dowsett, M., Ekundayomi, D., Machesney, A., Mather, T., Gompels, B., Mcdonnell, S.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  7. 7

    Integrated multi-sensor assessment system for objective muscle recovery monitoring: Application of isokinetic dynamometry, infrared thermometry, and multi-biomarker ELISA in exerci...

    Rhi, S., Sin, B.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  8. 8

    A frequency-aware dual-stream deep learning framework for athlete workload monitoring and injury risk assessment: A multi-dataset validation study in professional team sports

    Tong, J., Gao, P.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  9. 9

    A robust deep learning framework for skill level discrimination in tennis strokes using bilateral IMU measurements

    Aydin, E. H., Aydemir, O.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  10. 10

    Longitudinal development of neuromuscular performance and multidirectional speed in youth badminton players: Evidence for parallel adaptation trajectories

    Gepfert, M., Golas, A., Maszczyk, A., Zajac, A., Zwierzchowska, A.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  11. 11

    Comparative analysis of markerless motion-capture models for assessing football kinematics during 30 m long-pass tasks

    Wang, D., Yu, J., Chen, S., Yang, J., Jiang, W., Gong, Y., Luo, C.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  12. 12

    Phase segmentation and phase-specific kinematic feature extraction of hurdle clearance based on monocular video and markerless pose estimation

    Guo, Y., Zheng, S., Liu, C., Li, H.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  13. 13

    Adaptive pacing and fatigue management in Thai Premier League soccer: A GPS-based analysis of match demands

    Nuttouch, W., Nakarabandid, P., Khaosanit, P., Tongterm, T.
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    “…technical and natural sciences…”
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  14. 14

    The role of artificial intelligence in sports training: Opportunities, challenges and future applications for competitive swimming

    Puce, L., Mijewski, P., Cotellessa, F., Schenone, C., Ceylan, H. I., Bragazzi, N. L., Trompetto, C.
    Published in Biology of Sport (2026)
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  15. 15

    Interchangeability of external player load variables from different athlete tracking systems in English Premier League soccer players

    Kavanagh, R., Mcdaid, K., Mcdonnell, J., Rhodes, D., Tivey, D., Alexander, J., Harper, D., Zmijewski, P., Morgans, R.
    Published in Biology of Sport (2026)
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  16. 16

    Key performance indicators of offensive transitions in elite women`s football: A machine learning and explainability approach

    Casal, C. A., Losada, J. L., de Benito Trigueros, A. M., Maneiro, R., Iván-Baragaño, I.
    Published in Biology of Sport (2026)
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  17. 17

    More details, less variability? A crossover design study on the impact of information granularity on ChatGPT`s training program stability

    Yang, Z., Zhang, X., Li, H., Ye, J.
    Published in Biology of Sport (2026)
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    “…technical and natural sciences…”
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  18. 18

    The kinetic differences in knee joint loading under different foot support patterns in table tennis players

    Jin, P., Yang, C., Ren, J.
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    “…technical and natural sciences…”
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  19. 19

    Machine learning-based prediction of performance gaps in rowing and identification of key training monitoring indicators

    Li, J., Liu, G., Wang, W., Cao, C.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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  20. 20

    Sensor-based analysis of the influence of score status and playing position on the most demanding passages in elite Women`s football

    Karakoc, B., Asci, A., Chmura, P.
    Published in Sensors (2026)
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    “…technical and natural sciences…”
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