Seyed Jamal Seyed Hakim, PhD
Seyed Jamal Seyed Hakim, PhD
University of Malaya (UM) and University Tun Hussein Onn Malaysia (UTHM)
Verified email at uthm.edu.my
Title
Cited by
Cited by
Year
Fault diagnosis on beam-like structures from modal parameters using artificial neural networks
SJS Hakim, HA Razak, SA Ravanfar
Measurement 76, 45-61, 2015
702015
Modal parameters based structural damage detection using artificial neural networks-a review
SJS Hakim, HA Razak
Smart Structures and Systems 14 (2), 159-189, 2014
652014
Application of artificial neural networks to predict compressive strength of high strength concrete
SJS Hakim, J Noorzaei, MS Jaafar, M Jameel, M Mohammadhassani
International Journal of Physical Sciences 6 (5), 975-981, 2011
632011
Development of nonlinear model based on wavelet-ANFIS for rainfall forecasting at Klang Gates Dam
SA Akrami, V Nourani, SJS Hakim
Water resources management 28 (10), 2999-3018, 2014
442014
Structural damage detection of steel bridge girder using artificial neural networks and finite element models
SJS Hakim, HA Razak
Steel Compos. Struct 14 (4), 367-377, 2013
432013
Application of the ANFIS model in deflection prediction of concrete deep beam
M Mohammadhassani, H Nezamabadi-Pour, M Jumaat, M Jameel, ...
Structural Engineering and Mechanics 45 (3), 319-332, 2013
432013
Adaptive neuro fuzzy inference system (ANFIS) and artificial neural networks (ANNs) for structural damage identification
SJS Hakim, HA Razak
Structural Engineering and Mechanics 45 (6), 779-802, 2013
422013
Development of artificial neural networks for predicting concrete compressive strength
J Noorzaei, SJS Hakim, MS Jaafar, WAM Thanoon
International Journal of engineering and Technology 4 (2), 141-153, 2007
392007
An experimental investigation of the stress-strain distribution in high strength concrete deep beams
M Mohammad, MZB Jumaat, M Chemrouk, A Ghasemi, SJS Hakim, ...
Procedia Engineering 14, 2141-2150, 2011
162011
An approach to predict ultimate bearing capacity of surface footings using artificial neural network
J Noorzaei, SJS Hakim, MS Jaafar
Indian Geotechnical Journal 38 (4), 513-526, 2008
162008
An optimal architecture of artificial neural network for predicting compressive strength of concrete
J Noorzaei, SJS Hakim, MS Jaafar, AAA Ali, WAM Thanoon
Indian Concrete Journal 81 (8), 17, 2007
162007
A two-step damage identification approach for beam structures based on wavelet transform and genetic algorithm
SA Ravanfar, HA Razak, Z Ismail, SJS Hakim
Meccanica 51 (3), 635-653, 2016
152016
Frequency response function-based structural damage identification using artificial neural networks-a review
SJS Hakim, HA Razak
Research Journal of Applied Sciences, Engineering and Technology 7 (9), 1750 …, 2014
132014
Application of artificial neural network on vibration test data for damage identification in bridge girder
SJS Hakim, H Abdul Razak
International Journal of the Physical Sciences 6 (35), 7991-8001, 2011
122011
Ensemble neural networks for structural damage identification using modal data
SJS Hakim, HA Razak, SA Ravanfar
International Journal of Damage Mechanics, 1-31, 2015
92015
Development and applications of artificial neural network for prediction of ultimate bearing capacity of soil and compressive strength of concrete
SJS Hakim
Universiti Putra Malaysia, 2006
92006
A hybrid procedure for structural damage identification in beam-like structures using wavelet analysis
SA Ravanfar, HA Razak, Z Ismail, SJS Hakim
Advances in Structural Engineering 18 (11), 1901-1913, 2015
72015
Structural damage detection using soft computing method
SJS Hakim, HA Razak, SA Ravanfar, M Mohammadhassani
Structural Health Monitoring, Volume 5, 143-151, 2014
72014
Structural damage identification using Artificial Neural Networks (ANNs) and Adaptive Neuro Fuzzy Interface System (ANFIS)
SJS Hakim, HA Razak, SA Ravanfar
Proceedings of the 9th international conference on structural dynamics, 2537 …, 2014
62014
A hybrid wavelet based–approach and genetic algorithm to detect damage in beam-like structures without baseline data
SA Ravanfar, HA Razak, Z Ismail, SJS Hakim
Experimental Mechanics 56 (8), 1411-1426, 2016
52016
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Articles 1–20