Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks—A review H El Kadi Composite structures 73 (1), 1-23, 2006 | 293 | 2006 |
Effect of stress ratio on the fatigue of unidirectional glass fibre/epoxy composite laminae H El Kadi, F Ellyin Composites 25 (10), 917-924, 1994 | 224 | 1994 |
Fatigue life prediction of unidirectional glass fiber/epoxy composite laminae using neural networks Y Al-Assaf, H El Kadi Composite Structures 53 (1), 65-71, 2001 | 155 | 2001 |
A fatigue failure criterion for fiber reinforced composite laminae F Ellyin, H El-Kadi Composite Structures 15 (1), 61-74, 1990 | 153 | 1990 |
Prediction of the fatigue life of unidirectional glass fiber/epoxy composite laminae using different neural network paradigms H El Kadi, Y Al-Assaf Composite Structures 55 (2), 239-246, 2002 | 102 | 2002 |
Crushing behavior of laterally compressed composite elliptical tubes: experiments and predictions using artificial neural networks ES Mahdi, H El Kadi Composite Structures 83 (4), 399-412, 2008 | 89 | 2008 |
Fatigue life prediction of composite materials using polynomial classifiers and recurrent neural networks Y Al-Assaf, H El Kadi Composite Structures 77 (4), 561-569, 2007 | 89 | 2007 |
Energy-based fatigue life prediction of fiberglass/epoxy composites using modular neural networks H El Kadi, Y Al-Assaf Composite Structures 57 (1-4), 85-89, 2002 | 59 | 2002 |
Injection and compression molding of polystyrene/high‐density polyethylene blends—phase morphology and tensile behavior MN Bureau, H El Kadi, J Denault, JI Dickson Polymer Engineering & Science 37 (2), 377-390, 1997 | 58 | 1997 |
Neuro-Fuzzy Modeling of Fatigue Life Prediction of Unidirectional Fiber/Epoxy Composite Laminates MA Jarrah, Y Al-Assaf, H El Kadi Journal of Composite Materials 36 (6), 685-700, 2002 | 44 | 2002 |
Predicting the Fatigue Life of Different Composite Materials using Artificial Neural Networks M Al-Assadi, H El Kadi 7th International Conference on Composite Science and Technology, 2009 | 43 | 2009 |
Using artificial neural networks to predict the fatigue life of different composite materials including the stress ratio effect M Al-Assadi, HA El Kadi, IM Deiab Applied Composite Materials 18 (4), 297-309, 2011 | 39 | 2011 |
Engineering students and faculty perceptions of academic dishonesty SW Tabsh, AS Abdelfatah, HA El Kadi Quality Assurance in Education 25 (4), 378-393, 2017 | 37 | 2017 |
Predicting crack growth direction in unidirectional composite laminae F Ellyin, H El Kadi Engineering fracture mechanics 36 (1), 27-37, 1990 | 22 | 1990 |
Prediction of the fatigue life of unidirectional glass fiber/epoxy composite laminae using different neural network paradigms HE Kadi, Y Al-Assaf Composite Structures 55 (2), 239-246, 2002 | 21 | 2002 |
Effects of processing conditions on the mechanical behavior of carbon-fiber-reinforced PEEK H El Kadi, J Denault Journal of Thermoplastic Composite Materials 14 (1), 34-53, 2001 | 20 | 2001 |
Predicting the effect of cooling rate on the mechanical properties of glass fiber–polypropylene composites using artificial neural networks MS Kabbani, HA El Kadi Journal of Thermoplastic Composite Materials 32 (9), 1268-1281, 2019 | 19 | 2019 |
Faculty response to ethical issues at an American university in the Middle‐East SW Tabsh, HA El Kadi, AS Abdelfatah Quality Assurance in Education 20 (4), 319-340, 2012 | 19 | 2012 |
The use of neural networks in the prediction of the fatigue life of different composite materials HA El Kadi, Y Al-Assaf Proceedings of ‘A giant step towards environmental awareness: from green …, 2007 | 17 | 2007 |
Faculty perception of engineering student cheating and effective measures to curb it SW Tabsh, HA El Kadi, AS Abdelfatah 2019 IEEE Global Engineering Education Conference (EDUCON), 806-810, 2019 | 15 | 2019 |