Search Results - Abdullah M.

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  1. 1

    Maschinelles Lernen im Hochleistungsskateboarding (Machine learning in high-performance skateboarding)

    Musa, R. M., Rasid, A. M. A., Samsudin, C. N. C., Majeed, A. P. P. A., Abdullah, M. R.
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  2. 2

    Test-retest reliability of customised inertial measurement units (IMUs) in evaluating skateboarding related manoeuvres

    Ab Rasid, A. M., Musa, A., Abdullah, M. A., Abdul Majeed, A. P. P., Mohd Razmaan, M. A., Abdullah, M. R., Abu Osman, N. A., Musa, R. M.
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  3. 3

    Perfect shot reveal: Machine learning analysis of goal-scoring strategies in soccer

    Yazbeck M., Abdullah M., Alhanouti S., Vatne E., Hagen J., Allen T. T., Krening S.
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  4. 4

    Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis

    Ab Rasid, A. M., Muazu Musa, R., Abdul Majeed, A. P., Musawi Maliki, A. B. H., Abdullah, M. R., Mohd Razmaan, M. A., Abu Osman, N. A.
    Published in PLOS ONE (2024)
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  5. 5

    Identification of high-performance volleyball players from anthropometric variables and psychological readiness: A machine-learning approach

    Musa, R. M., Abdul Majeed, A. P. P., Suhaimi, M. Z., Abdullah, M. R., Razman, M. A. M., Abdelhakim, D., Osman, N. A. A.
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  6. 6

    The classification of skateboarding tricks via transfer learning pipelines

    Abdullah, M. A., Ibrahim, M. A. R., Shapiee, M. N. A., Zakaria, M. A., Razman, M. A. M., Musa, R. M., Osman, N. A. A., Majeed, A. P. A.
    Published in PeerJ Computer Science (2021)
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  7. 7

    Badminton overhead backhand and forehand smashes: a biomechanical analysis approach

    Rusdiana, A., Razali Bin Abdullah, M., Syahid, A. M., Haryono, T., Kurniawan, T.
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    “…Razali Bin Abdullah, M.…”
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  8. 8

    The classification of skateboarding tricks by means of support vector machine: An evaluation of significant time-domain features

    Abdullah, M. A., Ibrahim, M. A. R., Shapiee, M. N. A., Majeed, A. P. A., Razman, M. A. M., Musa, R. M., Zakaria, M. A.
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  9. 9

    The classification of skateboarding trick manoeuvres through the integration of IMU and machine learning

    Abdullah, M. A., Ibrahim, M. A. R., Shapiee, M. N. A., Razman, M. A. M., Musa, R. M., Majeed, A. P. A.
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  10. 10

    The classification of skateboarding trick manoeuvres: A K-nearest neighbour approach

    Ibrahim, M. A. R., Abdullah, M. A., Shapiee, M. N. A., Razman, M. A. M., Musa, R. M., Zakaria, M. A., Osman, N. A. A., Majeed, A. P. A.
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  11. 11

    The classification of skateboarding trick manoeuvres: A frequency-domain evaluation

    Ibrahim, M. A. R., Shapiee, M. N. A., Abdullah, M. A., Razman, M. A. M., Musa, R. M., Majeed, A. P. A.
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  12. 12

    The classification of skateboarding trick manoeuvres through the integration of image processing techniques and machine learning

    Nur Aiman Shapiee, M., Ar Rahim Ibrahim, M., Azraai Mohd Razman, M., Amirul Abdullah, M., Muazu Musa, R., Hasnun Arif Hassan, M., Abdul Majeed, A. P. P.
    Published 2020
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    “…Amirul Abdullah, M.…”
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  13. 13

    Evaluation of real-time motion tracking accuracy of customised IMU sensor for application in a mobile badminton virtual reality training system

    Taha, Z., Wong, M. Y., Yap, H. J., Abdullah, M. A., Yeo, W. K.
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  14. 14

    Determining youth profile using principle component analysis for identifying talent in sports

    Mat-Rasid, S. M., Abdullah, M. R., Juahir, H., Maliki, A. B. H. M., Musa,R. M., Kosni, N. A., Hashim, M. R., EswaramoorthV., Najmi, N.
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  15. 15

    The application of Artificial Neural Network and k-Nearest Neighbour classification models in the scouting of high-performance archers from a selected fitness and motor skill perfo...

    Muazu Musa, R., Abdul Majeed, A. P. P., Taha, Z., Abdullah, M. R., Husin Musawi Maliki, A. B., Azura Kosni, N.
    Published in Science & Sports (2019)
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  16. 16

    Comparison of physiological and 2D kinematic variables during 2KM time trial on stationalry versus dynamic rowing ergometers

    Zahiran, A., Abdullah, M. I., Shaharudin, S.
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    “…Abdullah, M. I.…”
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  17. 17

    A machine learning approach of predicting high potential archers by means of physical fitness indicators

    Muazu Musa, R., Abdul Majeed, A. P. P., Taha, Z., Chang, S. W., Ab. Nasir, A. F., Abdullah, M. R.
    Published in PLOS ONE (2019)
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  18. 18

    Design of a software for novel inertial data logger to measure high kinematic parameters of soccer instep kick

    Meamarbashi, A., Larmie, E. T., Abdullah, M. R., Attarzadeh, R.
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