Selected List of Publications

  1. Thoo, A. C., Hang, S. P., Lee, Y. L., & Tan, L. C. (2021). Students’ Satisfaction Using E-Learning as a Supplementary Tool. International Journal of Emerging Technologies in Learning, 16(15).
  2. Thoo, A. C., Tan, M. K., Hang, S. P., & Lee, Y. L. (2021). Enhancing Consumer Repurchase Intention towards Airbnb. Paper presented at the 2021 IEEE Technology & Engineering Management Conference-Europe (TEMSCON-EUR), 17-21 May 2020.
  3. Zulkafle, N. F., Hang, S. P., & Thoo, A. C. (2020). Particulate Matter 2.5 Predictions Using Multiple Linear Regression Analysis. Paper presented at the 7th Global Conference on Business Management and Social Sciences (GCBMS2020), 8-9 August 2020.
  4. Hang, S. P., Shamsuddin, S. M., & Ong, K. H. (2019). Enhanced Massive Training Artificial Immune Recognition System for False Positives Reduction in Lung Nodules Classification. Int. J. Advance Soft Compu. Appl, 11(2).
  5. Yan, S. W., & Hang, S. P. (2019). Lung Nodules Classification Using Massive-Training Self-Organizing Map and Learning Vector Quantization. Paper presented at the 2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS), (8-9 September 2019).
  6. Yan, S. W., Hang, S. P., & Ong, K. H. (2019). Classification of Lung Nodules by Artificial Neural Network with Pixel-Based Learning. Communications in Computational and Applied Mathematics, 1(2).
  7. Pang, Y. Y., Hang, S. P., & Yan, S. W. (2019). Pixel Machine Learning with Clonal Selection Algorithm for Lung Nodules Visualization. Communications in Computational and Applied Mathematics, 1(1).
  8. Ong, K. H., Shamsuddin, S., Sulaiman, S., Ali, A., Zain, N. M., & Hang, S. P. (2018). Automatic white matter lesion detection and segmentation on Magnetic Resonance Imaging: A review of past and current state-of-the-art. Int. J. Advance Soft Compu. Appl, 10(3).
  9. Ong, K. H., Shamsuddin, S. M., Hashim, S. M., Sulaiman, S., Zain, N. M., & Hang, S. P. (2018). White Matter Lesion Intensity Standardization using Adaptive Landmark based Brain Tissue Analysis on FLAIR MR Image. Int. J. Advance Soft Compu. Appl, 10(3).
  10. Hang, S. P., Shamsuddin, S. M., Wong, Y. L., & Alwee, R. (2016). Kullback leibler divergence for image quantitative evaluation. Paper presented at the AIP Conference Proceedings, 24 – 26 November 2015.
  11. Hang, S. P., Shamsuddin, S. M., & Ralescu, A. (2013). Massive training in artificial immune recognition algorithm for enhancement of lung CT scans. Paper presented at the 2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR). 15-18 December 2013.
  12. Hang, S. P., & Shamsuddin, S. M. (2012). Texture classification of lung computed tomography images. Paper presented at the International Conference on Graphic and Image Processing (ICGIP 2012), 5-6 October 2012.
  13. Hang, S. P., Shamsuddin, S., & Kenji, S. (2011). Application of intelligent computational models on computed tomography lung images. Int J Adv Soft Comput Appl, 3, 1-15.
  14. Hang, S. P. (2007). Noise Modeling in Universiti Sains Malaysia and Offshore Oil And Gas Platform [TD892. H239 2007 f rb]. Universiti Sains Malaysia.