Follow
Seyed Jamal Seyed Hakim, PhD
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
872015
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
732014
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
702011
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
562013
Adaptive neuro fuzzy inference system (ANFIS) and artificial neural networks (ANNs) for structural damage identification
SJS Hakim, HA Razak
Structural engineering and mechanics: An international journal 45 (6), 779-802, 2013
542013
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
522014
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
502013
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
462007
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
192007
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
182016
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
172014
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
172011
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), 515-528, 2008
162008
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
142011
Ensemble neural networks for structural damage identification using modal data
SJS Hakim, HA Razak, SA Ravanfar
International Journal of Damage Mechanics, 1-31, 2015
112015
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
102006
Structural damage detection using soft computing method
SJS Hakim, HA Razak, SA Ravanfar, M Mohammadhassani
Structural Health Monitoring, Volume 5, 143-151, 2014
92014
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
Modal parameters based structural damage detection using artificial Neural networks-a review, Smart Struct
SJS Hakim, HA Razak
Syst 14 (2), 159-189, 2014
72014
Damage detection of steel bridge girder using artificial neural networks
SJS Hakim, HA Razak
Emerging Technologies in Non-Destructive Testing V 409, 2012
72012
The system can't perform the operation now. Try again later.
Articles 1–20