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Norhisham Bakhary

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Yon, Kong Chen / Bakhary, Norhisham / Padil, Khairul Hazman / Shamsudin, Mohd Fairuz: Unsupervised environmental operating condition compensation strategies in a guided ultrasonic wave monitoring system: evaluation and comparison. Dans: Journal of Civil Structural Health Monitoring.

    https://doi.org/10.1007/s13349-024-00761-5

  2. Basius, Syafiq / Abd. Samat, Roslida / Bakhary, Norhisham / Bakar, Suhaimi Abu (2022): Energy Dissipation and Ductility of Steel Plate Shear Wall With Perforation. Dans: Malaysian Journal of Civil Engineering, v. 34, n. 2 (juillet 2022).

    https://doi.org/10.11113/mjce.v34.18749

  3. Tong, K. H. / Bakhary, Norhisham / Kueh, A. B. H. / Yassin, A. Y. Mohd (2014): Optimal sensor placement for mode shapes using improved simulated annealing. Dans: Smart Structures and Systems, v. 13, n. 3 (mars 2014).

    https://doi.org/10.12989/sss.2014.13.3.389

  4. Goh, Lyn Dee / Bakhary, Norhisham / Rahman, Azlan Abdul / Ahmad, Baderul Hisham (2013): Application of Neural Network for Prediction of Unmeasured Mode Shape in Damage Detection. Dans: Advances in Structural Engineering, v. 16, n. 1 (janvier 2013).

    https://doi.org/10.1260/1369-4332.16.1.99

  5. Bakhary, Norhisham / Hao, Hong / Deeks, Andrew J. (2010): Structure Damage Detection Using Neural Network with Multi-Stage Substructuring. Dans: Advances in Structural Engineering, v. 13, n. 1 (février 2010).

    https://doi.org/10.1260/1369-4332.13.1.95

  6. Bakhary, Norhisham / Hao, Hong / Deeks, Andrew J. (2007): Damage detection using artificial neural network with consideration of uncertainties. Dans: Engineering Structures, v. 29, n. 11 (novembre 2007).

    https://doi.org/10.1016/j.engstruct.2007.01.013

  7. Bakhary, Norhisham / Hao, Hong / Deeks, Andrew J. (2010): Substructuring Technique for Damage Detection Using Statistical Multi-Stage Artificial Neural Network. Dans: Advances in Structural Engineering, v. 13, n. 4 (août 2010).

    https://doi.org/10.1260/1369-4332.13.4.619

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