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2. Saad, Z., M.Y. Mashor and W. Khairunizam, 2015. On-Line Modelling And Forecasting Of A Moving Car Information Using Td-Hmlp Network. Jurnal Teknologi, 6: 77-85.
3. Rahman, M.K.F.A., A.B. Shahriman, H. Desa, R. Daud and Z.M. Razlan et al., 2015. Comparative Study of Rapid Upper Limb Assessment (RULA) and Rapid Entire Body Assessment (REBA) Between Conventional and Machine Assisted Napier Grass Harvest Works. Appl. Mech. Mater., 786: 275-280.
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4. Norzan, M.L., A.B. Shahriman, B.M.T. Shamsul, B.M. Deros and A.S. Rambely et al., 2015. Conceptual Design for Oil Palm Evacuation to Improve Ergonomics Issues of Collecting Fresh Fruit Bunch. Appl. Mech. Mater., 786: 281-286.
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5. Karim, K.F., D. Hazry, A.H. Zulkifli, S.F. Ahmed, Z.M. Razlan, K. Wan and S.A.B. Bakar, 2015. Feature Extraction and Optimum Part Deposition Orientation for FDM. Appl. Mech. Mater., 793: 642-646.
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6. Kamil, N.Y., D. Hazry, K. Wan and Z.M. Razla, 2015. Trajectory Tracking Based On Arms Length Variation. J. Theor. Appl. Inf. Technol., 37: 528-536.
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7. Wan, K., A.R. Aswad, R. Suhaimi, N.H. Adnan and D. Hazry et al., 2014. Glove-Based Virtual Interaction for the Rehabilitation of Hemiparesis Stroke Patient. J. Rob. Networking Artif. Life, 1: 130-134.
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8. Talha, K.S., K. Wan, V. Chittawad, S.K. Zaba, M.N. Ayob, Z.M. Razlan and A.B. Shahriman, 2014. Extracting features point of lip movement for computer-based lip reading system. International Journal of Mechanical & Mechatronics Engineering 14: 48-53.
9. Selvaraj, J., M. Murugappan, K. Wan and S. Yaacob, 2014. Frequency study of facial electromyography signals with respect to emotion recognition. Biomed. Eng. Biomedizinische Technik, 59: 241-249.
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10. Saraswathy, J., M. Hariharan, T. Nadarajaw, W. Khairunizam and S. Yaacob, 2014. Optimal selection of mother wavelet for accurate infant cry classification. Australas. Phys. Eng. Sci. Med., 37: 439-456.
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11. Nabilah, H.E., W. Khairunizam, M.N. Ayob, A.B. Shahriman and N.H. Adnan et al., 2014. Two Wheels Mobile Robot Navigation by Using a Low Cost Dataglove GloveMAP. Aust. J. Basic Appl. Sci., 8: 345-349.
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12. Murugappan, M., K. Wan and S. Yaacob, 2014. Electrocardiogram‐based emotion recognition system using empirical mode decomposition and discrete Fourier transform. Expert Syst., 31: 110-120.
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13. Ling, S.C., A.A. Abdullah and W.K.W. Ahmad, 2014. Design of an automated breast cancer masses detection in mammogram using cellular neural network (CNN) algorithm. Adv. Sci. Lett., 20: 254-258.
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14. Ling, S.C., A.A. Abdullah and K. Wan, 2014. Design of an Automated Breast Cancer Masses Detection in Mammogram Using Cellular Neural Network (CNN) Algorithm. Adv. Sci. Lett., 20: 254-258.
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15. Lee, H.L., A.B. Shahriman, S.K. Zaaba, W. Khairunizam, S.A. Roohi and M.R. Zuradzman, 2014. Upper extremity vein graft monitoring device after surgery procedure: a preliminary study. Adv. Mater. Res., 925: 656-660.
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16. Jerritta, S., M. Murugappan, K. Wan and S. Yaacob, 2014. Emotion recognition from facial EMG signals using higher order statistics and principal component analysis. J. Chin. Inst. Eng., 37: 385-394.
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17. Ayob, M.N., M.S. Hashim, M.N Ainuddin, W. Khairunizam and M.N. Rudzuan, 2014. Design Navigation Error Reduction Algorithm for Mobile Robot Based on Fuzzy Logic Control. Aust. J. Basic Appl. Sci., 8: 532-540.
18. Aswad, A.R., W. Khairunizam, N.H. Adnan, A.B. Shahriman and D. Hazry et al., 2014. Glove Based Virtual Reality (VR) Interaction for the Purpose of Rehabilitation. Aust. J. Basic Appl. Sci., 8: 170-175.
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19. Ali, M.H., W. Khairunizam, N.H. Adnan, Z.M. Razlan, A.B. Shahriman and D. Hazry, 2014. Analysis of GloveMAP feature extraction using the Polynomial Regression methed. Aust. J. Basic Appl. Sci., 8: 768-773.
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20. Ahmed, S., D. Hazry, M. H. Tanveer, M.K. Joyo and F. Warsi et al., 2014. Survey of Conventional UUV Navigation Mapping Technique in Development of AQUA-X UUV. J. Rob. Networking Artif. Life, 1: 90-96.
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21. Ahmad, W.K.W., A.A.M. Azri, S. Khadijah, A.B. Shahriman, A. Nasir, A.A. Azamimi and M.R. Zuradzman, 2014. Gesture recognition based on bayesian inference of distributed arm trajectory. Am. Sci. Publishers, 20: 42-46.
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22. Adnan, N.H., W. Khairunizam, A.B. Shahriman and J.A.A. Bakar, 2014. Extracting Features of Fingertips Bending by Using Self-Organizing Map. Aust. J. Basic Appl. Sci., 8: 219-223.
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23. Adnan, N.H., W. Khairunizam, A.B. Shahriman and J.A. AbuBakar, 2014. Clustering Analysis of Human Finger Grasping Based on SOM Neural Network Model. Int. J. Mech. Mechatron. Eng., 14: 1-5.
24. Adnan, N.H., K. Wan, S.A.B.D. Hazry, Z.M. Razlan and J.A.A. Bakar, 2014. Experimental And Analysis Study On Glovemap Grasping Force Signal Using Gaussian Filtering Method And Principal Component Analysis (Pca). Int. J. Innovative Comput. Inf. Control, 10.1155/2012/147950.
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25. Saidon, M.S., Z.A. Muin, S. Yaacob, M.S. Mohamad, W. Khairunizam and R.M. Nor, 2013. Modelling and Design Adaptive Control for Thermoelectric Refrigerator System. Int. J. Mech. Mechatron. Eng., 13: 29-34.
26. Rahman, Y.M.N., A.B. Shahriman, S.K. Zaaba, S.A. Roohi and W. Khairunizam, 2013. Theoretical Approach On Vein Graft Survival: Simulation On Vein Graft. Int. J. Med. Eng. Inf., 5: 279-288.
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27. Khairunizam, W., M.N. Rudzuan, M.N. Ayob, D. Hazry, A.B. Shahriman, Z.M. Razlan and M.S. Saidon, 2013. Mobile Robot Navigation by Using Fuzzy Information of Moving Two-Wheeled Motion Features. Int. J. Mech. Mechatron. Eng., 13: 34-39.
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28. Jerritta, S., M. Murugappan, W. Khairunizam and S. Yaacob, 2013. Classification of emotional States from electrocardiogram signals: a non-linear approach based on hurst. Biomed. Eng. Online, 10.1186/1475-925X-12-44.
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29. Jerritta, S., M. Murugappan, K. Wan and S. Yacob, 2013. ECG based Emotion Recognition System using Empirical Mode Decomposition and Discrete Fourier Transform. Expert Syst., 31: 110-120.
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30. Ibrahim, Z., I. Ibrahim, K. Khalil, S.W. Nawawi and Z.M. Yusof et al., 2013. Noise Elimination for Image Subtraction in Printed Circuit Board Defect Detection Algorithm. Int. J. Adv. Comput. Technol., 10: 1319-1329.
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31. Ali, M.H., W. Khairunizam, N.H. Adnan, Y.C. Seah and J.A.A. Bakar, 2013. Analysis of Finger Movement by Using Motion Information from GloveMAP and Motion Capture System. Int. J. Mech. Mechatron. Eng., 13: 24-31.
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32. Adnan, N.H., W. Khairunizam, Z.M. Razlan, J.A.A. Bakar, A.A. Aziz and M.H. Ali, 2013. Accurate and effective method to smoothen grasping force signal of glovemap using gaussian filter. Int. J. Mech. Mechatron. Eng., 13: 19-23.
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33. Adnan, N.H., W. Khairunizam, A.B. Shariman, J.A.A. Bakar and A.A. Aziz, 2013. Principle Component Analysis for the Classification of Fingers Movement Data Uisng DataGlove GloveMAP. Int. J. Comput. Eng. Technol., 4: 79-93.
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34. Adnan, N.H., W. Khairunizam, A.B. Shariman, J.A.A. Bakar and A.A. Aziz, 2013. PCA-based Finger Movement and Grasping Classification using Data Glove GloveMAP. Int. J. Innovative Technol. Exploring Eng., 2: 66-71.
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35. Adnan, N.H., W. Khairunizam, A.B. Shariman and J.A.A. Bakar, 2013. Classification of Finger Grasping by Using PCA Based on Best Matching Unit (BMU) Approach. Int. J. Adv. Res. Eng. Technol., 4: 92-105.
36. Wan, K., A.A. Aziz, S.K. Zaaba, A.B. Shahriman, N. Ayob, A.A. Abdullah and Z.M. Razlan, 2012. Gesture Recognition Based on Bayesian Inference of Distributed Arm Trajectory. Adv. Sci. Lett., 20: 42-46.
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