Journal Papers

  1. Bakhary, N, K.H. Padil and Hao, H. (2017). The use of a non-probabilistic artificial neural network to consider uncertainties in vibration-based-damage detection. Mechanical Systems and Signal Processing 83 194-209. (Impact factor: 2.771)
  2. Egba, E.I., Bakhary, N. and Ismail, M. (2016). Influence of natural climate curing treatment on corrosion activity of reinforced concrete. Indian Journal of Science and Technology, 9 (46). (Scopus)
  3. Bakhary, N., Hao, H. and Deeks, A. (2007). Damage detection using artificial neural network with consideration of uncertainties. Engineering Structures, 29(11) 2806-2815. (Impact factor: 1.713)
  4. Bakhary, N., Hao, H., and Deeks, A. (2010). Structure Damage Detection Using Neural Network with Multi-stage Sub structuring. Advances in Structural Engineering, 13(1) 95-110. (Impact factor: 0.489). Recipient of The 2013 Certificate of Commendation by Advances of Structural Engineering Journal).
  5. Bakhary, N., Hao, H., and Deeks, A. (2010). Substructuring Technique for Damage Detection Using Statistical Multi-Stage Artificial Neural Network. Advances in Structural Engineering, 13(4), 619-639 (Impact factor: 0.489)
  6. D.,Goh.,Bakhary, N., Rahman, A.A., Ahmad, B.H. (2013). Application of neural network for prediction of unmeasured mode shape in damage detection. Advances in Structural Engineering, 16(1), 99-113 (Impact factor: 0.489)
  7. Tong, K.H.,Bakhary, N., Kueh, A.B.H., Mohd Yassin, A.Y. (2014). Optimal sensor placement for mode shapes using improved simulated annealing. Smart Structures and 13 (3), 389-406. (Impact factor: 1.438).
  8. Umar, S, Bakhary, N., (2015) Comparative Study on Design of Experiment in Frequency-based Response Surface Methodology for Damage Detection. Applied Mechanics and Materials, 735, 168-173.
  9. Bakhary, N., Hao, H., and Deeks, A. (2008). Substructuring technique for damage detection using statistical multi-stage Artificial Neural Network. Proceeding of 20th Australasian Conference on the Mechanics of Structures and Materials, Toowomba, Australia. (Scopus)
  10. Mutalib, A.A. and Bakhary, N. K. (2011). Empirical formulae to predict pressure and impulsive asymptotes for P-I diagrams of RC columns strengthened with FRP. Jurnal Teknologi 55, 27-38. (Scopus)
  11. D.,Goh.,Bakhary, N., Rahman, A.A., Ahmad, B.H.A. (2011). Comparison of artificial neural network learning algorithms for vibration-based damage detection. Advanced Materials Research 163-167, 2756-2762. (Scopus)
  12. Hajihasani, N.,Bakhary, N. (2011). Detection of concrete spalling using changes in modal flexibility. Advanced Materials Research 163-167, 2598-2602. (Scopus)
  13. Hong, T.K.,Bakhary, N., Mutalib, A., Anang, R. (2011). Vibration-based damage detection using modal data: An experimental verification. Jurnal Teknologi 56, 31-44. (Scopus)
  14. D.,Goh.,Bakhary, N., Rahman, A.A., Ahmad, B.H.A. (2013). Prediction of unmeasured mode shape using artificial neural network for damage detection. Jurnal Teknologi 61(1), 57-56. (Scopus)
  15. Goh, L.D.,Bakhary, N., Rahman, A.A., Ahmad, B.H. (2014). Factors Influencing Natural Frequencies in a Prestressed Concrete Panel for Damage Detection. Jurnal Teknologi  (Scopus)
  16. Bakhary, N., K. Yahya and C.H. Ng, (2004). Univariate Artificial Neural Network in Forcasting Demand of Low Cost House in Petaling Jaya. Jurnal Teknologi 40B, 65-75.
  17. Bakhary, N., (2006). Vibration-based damage detection of Slab Structure using Artificial Neural Network. Jurnal Teknologi 44B,17-40. (Scopus)
  18. Bakhary, N., (2010) Statistical Vibration Based Damage Identification Using Artificial Neural Network. Jurnal Teknologi 52, 49-60.
  19. Bakhary, N., Hao, H., and Deeks, A. (2008). Substructuring technique for damage detection using statistical multi-stage Artificial Neural Network. Proceeding of 20th Australasian Conference on the Mechanics of Structures and Materials, Toowomba, Australia. (Scopus)