1. Wong, S.Y., J.H. Chuah, H.J. Yap and C.F. Tan, 2023. Dissociation artificial neural network for tool wear estimation in CNC milling. Int. J. Adv. Manuf. Technol., 125: 887-901.
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2. Shoaib, M.A., J.H. Chuah, R. Ali, S. Dhanalakshmi, Y.C. Hum, A. Khalil and K.W. Lai, 2023. Fully automatic left ventricle segmentation using bilateral lightweight deep neural network.
   Life, Vol. 13. 10.3390/life13010124.
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3. Shoaib, M.A., J.H. Chuah, R. Ali, K. Hasikin and A. Khalil et al., 2023. An overview of deep learning methods for left ventricle segmentation. Comput. Intell. Neurosci., Vol. 2023. 10.1155/2023/4208231.
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4. Han, Y., B. Wang, T. Guan, D. Tian and G. Yang et al., 2023. Research on road environmental sense method of intelligent vehicle based on tracking check. IEEE Trans. Intell. Transp. Syst., 24: 1261-1275.
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5. Tan, Y.H., L.S. Chow, J.H. Chuah and K.W.Lai, 2022. Diagnosis of optic neuritis using magnetic resonance images. Multimed. Tools Appl., 81: 41979-41993.
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6. Ma, S.C., M. Alkhaleefah, Y.L. Chang, J.H. Chuah and W.Y. Chang et al., 2022. Inter-multilevel super-orthogonal space-time coding scheme for reliable zigbee-based IoMT communications. Sensors, Vol. 22. 10.3390/s22072695.
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7. Koay, H.V., J.H. Chuah, C.O. Chow and Y.L. Chang, 2022. Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014-2021). Eng. Appl. Artif. Intell., Vol. 115. 10.1016/j.engappai.2022.105309.
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8. Jamaludin, M.R., K.W. Lai, J.H. Chuah, M.A. Zaki, K. Hasikin et al., 2022. Machine learning application of transcranial motor-evoked potential to predict positive functional outcomes of patients. Comput. Intell. Neurosci. Vol. 2022. 10.1155/2022/2801663.
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9. Ching, S.L.W., K.W. Lai, J.H. Chuah, K. Hasikin and A. Khalil et al., 2022. Multiclass convolution neural network for classification of COVID-19 CT images. Comput. Intell. Neurosci., Vol. 2022. 10.1155/2022/9167707.
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10. Chin, S.C., C.O. Chow, J. Kanesan and J.H. Chuah, 2022. A study on distortion estimation based on image gradients. Sensors, Vol. 22. 10.3390/s22020639.
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11. Chang, Y.L., T.H. Tan, T.H. Chen, J.H. Chuah and L. Chang et al., 2022. Spatial-temporal neural network for rice field classification from SAR images. Remote Sens., Vol. 14. 10.3390/rs14081929.
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12. Ali, R., J.H. Chuah, M.S.A. Talip, N. Mokhtar and M.A. Shoaib, 2022. Crack segmentation network using additive attention gate-CSN-II. Eng. Appl. Artif. Intell., Vol. 114. 10.1016/j.engappai.2022.105130.
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13. Abdellatif, A., H. Abdellatef, J. Kanesan, C.O. Chow, J.H. Chuah and H.M. Gheni, 2022. Improving the heart disease detection and patients' survival using supervised infinite feature selection and improved weighted random forest. IEEE Access, 10: 67363-67372.
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14. Abdellatif, A., H. Abdellatef, J. Kanesan, C.O. Chow, J.H. Chuah and H.M. Gheni, 2022. An effective heart disease detection and severity level classification model using machine learning and hyperparameter optimization methods. IEEE Access, 10: 79974-79985.
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15. Tanveer, M., H.K. Tan, H.F. Ng, M.K. Leung and J.H. Chuah, 2021. Regularization of deep neural network with batch contrastive loss. IEEE Access, 9: 124409-124418.
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16. Koay, H.V., J.H. Chuah, C.O. Chow, Y.L. Chang and K.K. Yong, 2021. YOLO-RTUAV: Towards real-time vehicle detection through aerial images with low-cost edge devices. Remote Sens., Vol. 13. 10.3390/rs13214196.
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17. Koay, H.V., J.H. Chuah, C.O. Chow, Y.L. Chang and B. Rudrusamy, 2021. Optimally-weighted image-pose approach (OWIPA) for distracted driver detection and classification. Sensors, Vol. 21. 10.3390/s21144837.
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18. Chen, C., J.H. Chuah, R. Ali and Y. Wang, 2021. Retinal vessel segmentation using deep learning: A review. IEEE Access, 9: 111985-112004.
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19. Soon, F.C., H.Y. Khaw, J.H. Chuah and J. Kanesan, 2020. Semisupervised PCA convolutional network for vehicle type classification. IEEE Trans. Vehicular Technol., 69: 8267-8277.
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20. Shazia, A., K.W. Lai, J.H. Chuah, M.A. Shoaib and H. Mohafez et al., 2020. An overview of deep learning approaches in chest radiograph. IEEE Access, 10.1109/access.2020.3028390.
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21. Yek, P.N.Y., R.K. Liew, M.S. Osman, C.L. Lee, J.H. Chuah, Y.K. Park and S.S. Lam, 2019. Microwave steam activation, an innovative pyrolysis approach to convert waste palm shell into highly microporous activated carbon. J. Environ. Manage., 236: 245-253.
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22. Tan, J.H., C.S. Chan and J.H. Chuah, 2019. Comic: toward a compact image captioning model with attention. IEEE Trans. Multimedia, 21: 2686-2696.
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23. Soon, F.C., H.Y. Khaw, J.H. Chuah and J. Kanesan, 2019. Vehicle logo recognition using whitening transformation and deep learning. Signal Image Video Process., 13: 111-119.
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24. Soon, F.C., H.Y. Khaw, J.H. Chuah and J. Kanesan, 2019. Pcanet-based convolutional neural network architecture for a vehicle model recognition system. IEEE Trans. Intell. Transp. Syst., 20: 749-759.
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25. Khaw, H.Y., F.C. Soon, J.H. Chuah and C.O. Chow, 2019. High-density impulse noise detection and removal using deep convolutional neural network with particle swarm optimisation. IET Image Process., 13: 365-374.
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26. Zain, M.Z.B.M., J. Kanesan, J.H. Chuah, S. Dhanapal and G. Kendall, 2018. A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization. Appl. Soft Comput., 70: 680-700.
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27. Zain, M.Z.B.M., J. Kanesan, G. Kendall and J.H. Chuah, 2018. Optimization of fed-batch fermentation processes using the backtracking search algorithm. Expert Syst. Appl., 91: 286-297.
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28. Soon, F.C., H.Y. Khaw, J.H. Chuah and J. Kanesan, 2018. Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition. IET Intell. Transp. Syst., 12: 939-946.
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29. Nasrinahar, A. and J.H. Chuah, 2018. Intelligent motion planning of a mobile robot with dynamic obstacle avoidance. J. Veh. Routing Algorithms, 1: 89-104.
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30. Moghaddam, A.K., J.H. Chuah, H. Ramiah, J. Ahmadian, P.I. Mak and R.P. Martins, 2017. A 73.9%-efficiency CMOS rectifier using a lower DC feeding (LDCF) self-body-biasing technique for far-field RF energy-harvesting systems. IEEE Trans. Circuits Syst. I: Regul. Pap., 64: 992-1002.
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31. Khaw, H.Y., F.C. Soon, J.H. Chuah and C.O. Chow, 2017. Image noise types recognition using convolutional neural network with principal components analysis. IET Image Process, 11: 1238-1245.
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32. Huan, T.T., A.J. Kulkarni, J. Kanesan, C.J. Huang and A. Abraham, 2017. Ideology algorithm: A socio-inspired optimization methodology. Neural Comput. Appl., 28: 845-876.
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33. Wong, K.Y., J.H. Chuah and C. Hope, 2016. Carbon taxation in Malaysia: Insights from the enhanced PAGE09 integrated assessment model. Carbon Manage., 7: 301-312.
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34. Wong, K.Y., J.H. Chuah and C. Hope, 2015. The impact of time horizon on integrated climate assessment models. Clean Technol. Environ. Policy, 17: 2361-2374.
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35. Chuah, J.H. and D. Holburn, 2015. Design of low-noise high-gain cmos transimpedance amplifier for intelligent sensing of secondary electrons. IEEE Sens. J., 15: 5997-6004.
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