Search Results - Hakim, S.J.S

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  1. 1
    Sustainable bio-foamed concrete bricks: optimising compressive strength with rice husk ash, coal bottom ash, and Bacillus tequilensis

    Sustainable bio-foamed concrete bricks: optimising compressive strength with rice husk ash, coal bottom ash, and Bacillus tequilensis by Alshalif, Abdullah Faisal, Irwan, J. M., Mansour, Mohammed Ali, Imran, Arif, Yehya Alshaeer, Honin Ali, Mutafi, Ayad, Hakim, S. J.S., Alraeeini, Ahmed Saleh

    Published 2025
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  2. 2
    Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification

    Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification by Hakim, S.J.S., Abdul Razak, H.

    Published 2013
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  3. 3
    SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE

    SA-EVPS ALGORITHM FOR DISCRETE SIZE OPTIMIZATION OF THE 582-BAR SPATIAL TRUSS STRUCTURE by Paknahad, M., Hosseini, P., Hakim, S.J.S

    Published 2023
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  4. 4
    A hierarchical neural network for identification of multiple damage using modal parameters

    A hierarchical neural network for identification of multiple damage using modal parameters by Hakim, S. J. S., Irwan, J. M., Shahidan, S., Ayop, S. S., Anting, N., Chik, T. N. T.

    Published 2023
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  5. 5
    Application of artificial neural network on vibration test data for damage identification in bridge girder

    Application of artificial neural network on vibration test data for damage identification in bridge girder by S. J. S. Hakim*, S. J. S. Hakim*

    Published 2011
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  6. 6
    Damage detection of steel bridge girder using Artificial Neural Networks

    Damage detection of steel bridge girder using Artificial Neural Networks by Hakim, S.J.S., Abdul Razak, H.

    Published 2012
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  7. 7
    A hierarchical neural network for identification of multiple damage using modal parameters

    A hierarchical neural network for identification of multiple damage using modal parameters by Hakim, S. J. S., Irwan, J. M., Ibrahim, M. H. W., Shahidan, S., Ayop, S. S., Anting, N., Chik, T. N. T.

    Published 2023
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  8. 8
    Structural damage identification employing hybrid intelligence using artificial neural networks and vibration-based methods

    Structural damage identification employing hybrid intelligence using artificial neural networks and vibration-based methods by S. Hakim, S. J., M. Irwan, J., W. Ibrahim, M. H., S. Ayop, S.

    Published 2022
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  9. 9
    Application of artificial neural network on vibration test data for damage identification in bridge girder

    Application of artificial neural network on vibration test data for damage identification in bridge girder by S. Hakim, S. J., Abdul Razak, H.

    Published 2011
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  10. 10
    Experimental study on the strain contribution of horizontal and vertical web reinforced bar of HSSCC deep beams

    Experimental study on the strain contribution of horizontal and vertical web reinforced bar of HSSCC deep beams by Mohammadhassani, M., Jumaat, Mohd Zamin, Jameel, M., Hakim, S.J.S., Abdollahi, N.

    Published 2012
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  11. 11
    Structural damage detection of steel bridge girder using artificial neural networks and finite element models

    Structural damage detection of steel bridge girder using artificial neural networks and finite element models by Hakim, S.J.S., Abdul Razak, H.

    Published 2013
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  12. 12
    Utilizing mode shape curvature and artificial neural networks for structural damage assessment in beam-like structures

    Utilizing mode shape curvature and artificial neural networks for structural damage assessment in beam-like structures by Hakim, S J S, Mhaya, A M, Noh, M S M, Paknahad, M

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  13. 13
    An experimental investigation of the stress-strain distribution in high strength concrete deep beams

    An experimental investigation of the stress-strain distribution in high strength concrete deep beams by Mohammad, M., Jumaat, Mohd Zamin, Chemrouk, M., Ghasemi, A., Hakim, S.J.S., Najmeh, R.

    Published 2011
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  14. 14
    Application of artificial neural network on vibration test data for damage identification in bridge girder

    Application of artificial neural network on vibration test data for damage identification in bridge girder by Hakim, S.J.S., Abdul Razak, H.

    Published 2011
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  15. 15
    Damage identification using experimental modal analysis and adaptive neuro-fuzzy interface system (ANFIS)

    Damage identification using experimental modal analysis and adaptive neuro-fuzzy interface system (ANFIS) by Hakim, S.J.S., Razak, H.A.

    Published 2012
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  16. 16
    Effect of Infilled Walls On The Performance of Steel Frame Structures

    Effect of Infilled Walls On The Performance of Steel Frame Structures by Mohammadhasani, M., Hakim, S. J. Seyed, Jameel, M., A. F., Kamarudin, S. N., Mokhatar, Budiea, A. M. A.

    Published 2023
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  17. 17
    Buckling Prediction in Steel Columns: Unveiling Insights with Artificial Neural Networks

    Buckling Prediction in Steel Columns: Unveiling Insights with Artificial Neural Networks by Hakim, S. J. S, Paknahad, M., Kamarudin, A. F., Ravanfar, S. A., Mokhatar, S. N.

    Published 2023
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  18. 18
    A Self-Adaptive Enhanced Vibrating Particle System Algorithm For Structural Optimization: Application To Iscso Benchmark Problems

    A Self-Adaptive Enhanced Vibrating Particle System Algorithm For Structural Optimization: Application To Iscso Benchmark Problems by Paknahd, M, Hosseini, P, Kaveh, A, Hakim, S.J.S

    Published 2025
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  19. 19
    Implementing fuzzy-based artificial intelligence approach for location of damage in structures

    Implementing fuzzy-based artificial intelligence approach for location of damage in structures by Hakim, S. J. S., Ibrahim, M. H. W., Mohammadhassani, M., Yeoh, D., M. Jaini, Z., T. Chik, T.N.

    Published 2022
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  20. 20
    A Pioneering Approach to Predicting the Shear Strength of RC Beams by Employing Artificial Intelligence Techniques

    A Pioneering Approach to Predicting the Shear Strength of RC Beams by Employing Artificial Intelligence Techniques by Hakim, S. J. S., Mhaya, A. M., Ibrahim, M. H. W., Mohammadhasani, M., Mokhatar, S. N., Paknahad, M., Kamarudin, A. F.

    Published 2024
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