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

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

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

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

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

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

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

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An introduction to dynamic meteorology. by 271199 Holton, James R., Hakim, Gregory J.

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

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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.

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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.

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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.

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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.

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.

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.

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Adaptive neuro-fuzzy-based vibration approach for structural fault diagnosis by Hakim, S. J. S., Kamarudin, A. F., Mokhatar, S. N., Jaini, Z. M., Umar, S., Mohamad, N., Jamaluddin, N.

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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.

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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.

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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.

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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.

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