Publications

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Scopus (ID: 57189731270)

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BOOK (1)

  1. Ikrom Rishikboev, Nur Syarafina Mohamed. Engineering Mathematics II. (2019). Textbook for Science and Engineering Students. Penerbit Mentari, ISBN: 9789670626543.

JOURNALS (22)

  1. Mohamed, N. S., Mamat, M., Fatma, S. M. & Rivaie, M. (2016). A New Coefficient of Conjugate Gradient Method for Nonlinear Unconstrained Optimization, Jurnal Teknologi, 78: (6-4), 131-136.
  2. Mohamed, N. S., Mamat, M. & Rivaie, M. (2016). AIP Conference Proceedings 1787, (American Institute of Physics):  Solving a Large Scale Nonlinear Unconstrained Optimization with Exact Line Search Direction by using New Coefficient of Conjugate Gradient Methods, New York.
  3. Mohamed, N. S., Mamat, M. & Rivaie, M. (2017). AIP Conference Proceedings 1787, (American Institute of Physics):  A New Nonlinear Conjugate Gradient Coefficient under Strong Wolfe-Powell Line Search, New York.
  4. Mohamed, N. S., Mamat, M., Rivaie, M., Ghani, N. H. A., Zull, N., Aini, N. & Syairah, N. S. N. (2017).  Estimating the Number of Paediatric Patients using Least Square and Conjugate Gradient Methods, Journal of Engineering and Applied Science, 12 (12): 3068-3071.
  5. Ghani, N. H. A., Mohamed, N. S., Zull, N., Shoid, S., Rivaie, M. & Mamat, M. (2017). A Performance Comparison of New Hybrid Conjugate Gradient Method under Exact and Inexact Line Search. J. Phys.: Conf. Ser. 890:012106.
  6. Zull, N., Aini, N., Shoid, S., Ghani, N. H. A.,Mohamed, N. S., Rivaie, M., & Mamat, M., (2017). A Conjugate Gradient Method with Descent Properties under strong Wolfe Line Search. J. Phys.: Conf. Ser. 890: 012105.
  7. Ghani, N. H. A., Mamat, M., Fatma, S., Zull, N. & Mohamed, N. S. (2017). Another Descent Conjugate Gradient Method Strong-Wolfe Line Search, Journal of Engineering and Applied Science, 12(18): 4632-4636. 
  8. Zull, N., Aini, N., Mamat, M., Ghani, N. H. A.., & Mohamed, N. S. (2017). An Alternative Approach for Conjugate Gradient Method Journal of Engineering and Applied Science, 12(18): 4622-4626. 
  9. Mohamed, N. S., Mamat, M., Rivaie, M., Ghani, N. H. A., Zull, N., & Syoid, S. (2018). Estimating the Unemployment Rate using Least Square and Conjugate Gradient Methods, International Journal of Engineering and Technology, 7 (2.15): 94-97.
  10. Syoid, S., Shapiee, N., Zull, N., Ghani, N. H. A., Mohamed, N.S., Rivaie, M., & Mamat, M. (2018). The Application of New Conjugate Gradient Methods in Estimating. International Journal of Engineering and Technology, 7 (2.14): 25-27.
  11. Mohamed, N. S., Mamat, M., Rivaie, M., Shaharuddin, S. M. (2018). Global Convergence of a New Coefficient Nonlinear Conjugate Gradient Method, Indonesian Journal of Electrical Engineering and Computer Science, 11 (3): 1189-1193.
  12. Shaharuddin, S. M., Ahmad, N., Zainuddin, N. H., & Mohamed, N. S., (2018) Identifiation of Rainfall Patterns on Hydrological Simulation using Robust Principal Component Analysis, Indonesian Journal of Electrical Engineering and Computer Science, 11 (3): 1162-1167.
  13. Mohamed, N. S., Mamat, M., Rivaie, M., Shaharuddin, S. M. (2019). A Comparison On Classical-Hybrid Conjugate Gradient Method Under Exact Line Search, International Journal of Advances in Intelligent Informatics, 5 (2): 2548-3161.
  14. Ahmmad, S.N.Z., Ming, E.S.L., Fai, Y.C., Sood, S., Gandhi, A., Mohamed, N. S., Rahman, H. A.,  Burdet, E. (2019). Objective Assessment Of Surgeon’s Psychomotor Skill Using Virtual Reality Module. Indonesian Journal of Electrical Engineering and Computer Science.
  15. Mohamed, N. S., Mamat, M., Rivaie, M., Shaharuddin, S. M. (2020). A New Hybrid Coefficient of Conjugate Gradient Method, Indonesian Journal of Electrical Engineering and Computer Science. 18 (3): 1-7.
  16. Shaharudin, S.M., Ahmad, N., Mohamed, N.S., Mahdin, H. (2020). Fitting statistical distribution of extreme rainfall data for the purpose of simulation, Indonesian Journal of Electrical Engineering and Computer Science. 18 (3): 1-7.
  17. Ahmmad, S.N.Z., Rashid, M. A. R., Mohamed, N. S., Zainal, A., Zulkarnain, N. (2020). Development of Sensor-Based System for Assessment of Surgical Skill using EEG and IOT Approach, Test Engineering and Management. 83: 12917-12921.
  18. Mohamed, N. S., Ahmmad, S.N.Z.,Afiqah-Aleng, N. Saipol, H. F. S., Shaharudin, S.M. (2020). Pattern Analysis of Corona Virus Disease (COVID-19)- Outbreak in Malaysia, Journal of Advance Research in Dynamic and Control System, 12 (6): 1775-1782.
  19. Shaharudin, S.M., Ahmad, N., Mohamed, N.S., Aziz, N. (2020). Performance Analysis of Modified Singular Spectrum Analysis based on Simulation Torrential Rainfall Data, International Journal of Advanced Science Engineering Information Technology, 10(4):1450-1456.
  20. Shahrudin, S. M., Ismail, S., Tan, M. L., Mohamed, N. S. and Sulaiman, N. A. (2020). Predictive Modelling of Covid-19 Cases in Malaysia based on Recurrent Forecasting-Singular Spectrum Analysis Approach, International Journal of Advanced Trends in Computer Science and Engineering. 9(14): 175- 183.
  21. Abdulkarim, H. I, Muangchoo, K. Mohamed, N. S. and Abubakar, A. B. (2022). Derivative-free SMR Conjugate Gradient Method for Constraint Nonlinear Equations. Journal of Mathematics and Computer Science. 24: 147-164.
  22. Shaharudin, S, M.; Rajak, N, A.; Samat, N, A.; Md. Junus, N, W.; Mohamed, N, S.; and Sulaiman, N, A, F. (2021) A validation study of the Early Childhood Care and Education In-Service Carer-Educators Instrument. Review of International Geographical Education (RIGEO), 11(4), 748-753. doi: 10.33403/rigeo. 8006788.
  23. Norhaslinda Zullpakkal, N. ‘Aini, N. H. A. Ghani, N. S. Mohamed, N. Idalisa & M. Rivaie (2022). Covid-19 data modelling using hybrid conjugate gradient method, Journal of Information and Optimization Sciences, 43 (4), 837-853.
  24. Siti Nor Zawani Ahmmad, Wan Muhammad Hafiz Wan Zubaidi, Fatimah Khairiah Abd Hamid, and Nur Syarafina Mohamed. (2022). Maize Plant Monitoring System Based on IoT Application. Advanced Transdisciplinary Engineering and Technology. 174. 369-377.
  25. Nor Ain Maisarah Samsudin, Shazlyn Milleana Shaharudin, Nurul Ainina Filza Sulaiman, Shuhaida Ismail, Nur Syarafina Mohamed, and Nor Hafizah Md Husin. (2022). Prediction of Student‘s Academic Performance during Online Learning based on Regression in Support Vector Machine. International Journal of Information and Education Technology.