Dr. Nurbaity Sabri

Member of Center Of Vision, Algorithm and Management Analytics (C-VAMA), UiTM Melaka, Melaka. Associate Member Digital image, Audio and Signal Technology (DiAST), Faculty of Computer and Mathematical Sciences, UiTM Shah Alam, Selangor

• Gold Medal Virtual Innovation Competition 2021 (VIC2021)
• Bronze Medal Virtual International Medical Innovation Competition 2021(IMIC 2021)
• Best Paper Award, 2020 International Power Engineering, Optimization and Computing
  Conference (PEOCO2020)
• Outstanding Researcher Award, 2020 International Power Engineering, Optimization and Computing Conference (PEOCO2020)
• Silver Medal Virtual Innovation Competition 2020 (VIC2020)
• Gold Award Melaka Invention Innovation Exhibition (MIIEX2019)
• Gold Award Asian Innovate Award (AIS 2018)
• Gold award in Penang Invention, Innovation and Research Design Platform (PIID2017)
• Silver award in National E-Content Development Competition, UiTM Shah Alam,
  Selangor (econdev2017)
• Gold award in Innovation, Invention and Design (INDES2016)
• Best of the best award in Innovation, Invention and Design (INDES2016)
  

• Sabri, N., Ibrahim, Z., & Isa, D. (2018). Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification. Indonesian Journal of Electrical Engineering and Computer Science, 11(2), 549-557.
• Ibrahim, S., Zulkifli, N. A., Sabri, N., Shari, A. A., & Noordin, M. R. M. (2019). Rice grain classification using multi-class support vector machine (SVM). IAES International Journal of Artificial Intelligence, 8(3), 215.
• Sabri, N., Kamarudin, M. F., Hamzah, R., Manghsor, N. N. A., Samah, K. A. F. A., & Hasan, N. (2019, October). Combination of Color, Shape and Texture Features for Orchid Classification. In 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET) (pp. 315-319). IEEE.
• Sabri, N., Hamed, H. N. A., Ibrahim, Z., & Ibrahim, K. (2019, October). 2D Photogrammetry Image of Scoliosis Lenke Type Classification Using Deep Learning. In 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET) (pp. 437-440). IEEE.
• Sabri, N., Hamed, H. N. A., Ibrahim, Z., & Ibrahim, K. (2019). A Comparison between Average and Max-Pooling in Convolutional Neural Network for Scoliosis Classification. International Journal of Advanced Trends in Computer Science and Engineering, 9(14), (pp. 689-696).
• Mangshor, N. N. A., Majid, I. A. A., Ibrahim, S., & Sabri, N. (2020). A real-time drowsiness and fatigue recognition using support vector machine. IAES International Journal of Artificial Intelligence, 9(4), (pp. 584).
• Samah, K.A.F.A., Sani, A.A.S.A., Sabri, N., Ibrahim, S., Fadzil, A.F.A. and Riza, L.S., 2020. Visualizing communication of service providers reputation during COVID-19 pandemic: A conceptual model. International Journal of Advanced Trends in Computer
  Science and Engineering, (pp.558-568).
• Roslan, R.B., Razly, I.N.M., Sabri, N. and Ibrahim, Z., 2020. Evaluation of psoriasis skin disease classification using convolutional neural network. IAES International Journal of Artificial Intelligence, 9(2), p.349.
• Zin, I.A.M., Ibrahim, Z., Isa, D., Aliman, S., Sabri, N. and Mangshor, N.N.A., 2020. Herbal plant recognition using deep convolutional neural network. Bulletin of Electrical Engineering and Informatics, 9(5), pp.2198-2205.
• Sabri, N., Musa, N.H., Mangshor, N.N.A., Ibrahim, S. and Hamzah, H.H.M., 2020. Student emotion estimation based on facial application in E-learning during COVID-19 pandemic. Int. J. Adv. Trends Comput. Sci. Eng, 9(1.4).
• Sabri, N., Kassim, N.S., Ibrahim, S., Roslan, R., Mangshor, N.N.A. and Ibrahim, Z., 2020. Nutrient deficiency detection in maize (Zea mays L.) leaves using image processing. IAES International Journal of Artificial Intelligence, 9(2), p.304.
• Sabri, N., Hamed, H.A., Isa, M.A., Ghazali, N.S. and Ibrahim, Z., 2021, December. LowDensity Polyethylene (LDPE) Food Packaging Defect Classification using Local Binary Pattern (LBP). In Journal of Physics: Conference Series (Vol. 2129, No. 1, p. 012052). IOP Publishing.
• Hasan, N., Sabri, N., Shaharudin, N.S., Ibrahim, S., Ibrahim, Z. and Mangshor, N.N.A., 2021, September. Pneumonia Radiographic Classification Using Shallow Learning Approach. In 2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS) (pp. 1-4). IEEE.
• Mangshor, N.N.A., Ibrahim, S., Sabri, N. and Kamaruddin, S.A., 2021. Students’ learning habit factors during COVID-19 pandemic using multilayer perceptron (MLP). International Journal of Advanced Technology and Engineering Exploration, 8(74), p.190.
• Ibrahim, S., Kamaruddin, S.A., Nordin, M.R.M., Shari, A.A., Sabri, N. and Samah, K.A.F.A., 2021. Global geographical climate impacts on the spread and death of COVID-19 in Asia and America. Int J Adv Technol Eng Explor, 8, p.149.
• Mangshor, N.N.A., Paudzi, N.P.A.M., Ibrahim, S. and Sabri, N., 2022. A Real-Time Malaysian Traffic Sign Recognition Using YOLO Algorithm. In Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020 (pp. 283-293). Springer, Singapore.
• Hamzah, R., Sabri, N., Rahim, S.K.N.A., Jamil, N. and Ibrahim, Z., 2022. Improving the Classification of Scoliosis on Radiographic Image using the AdaBoost Ensemble Model. Journal of Positive School Psychology, 6(3), pp.8407-8414.
• Sabri, N., Hamed, H.N.A., Ibrahim, Z., Ibrahim, K., Isa, M.A. and Diah, N.M., 2022. The hybrid feature extraction method for classification of adolescence idiopathic scoliosis using Evolving Spiking Neural Network. Journal of King Saud University-Computer and Information Sciences.
• Sabri, N., Hamed, H.N.A., Ibrahim, Z., Ibrahim, K., Isa, M.A., 2022. Integrated Evolving Spiking Neural Network and Feature Extraction Methods for Scoliosis Classification. Computers, Materials and Continua 73 (3), pp. 5559–5573