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Salama, M., B. Helmy, M. El-Gamal, A. Reda, A. Ellaithy, D. Tantawy, M. Mohamed, A. El-Gamal, H. Sheashaa, and M. Sobh, "Role of l-thyroxin in counteracting rotenone induced neurotoxicity in rats", Environmental toxicology and pharmacology, vol. 35, issue 2: Elsevier, pp. 270-277, 2013. Abstract
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Starzyk, J., and M. El-Gamal, "An optimization approach to fault location in analog circuits", Proc. IEEE Int. Symp. CAS, Montreal, pp. 456-459, 1984. Abstract
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Mohamed, M. D. A., E. A. Soliman, and M. A. El-Gamal, "Optimization and characterization of electromagnetically coupled patch antennas using RBF neural networks", Journal of Electromagnetic Waves and Applications, vol. 20, no. 8: Taylor & Francis, pp. 1101–1114, 2006. Abstract
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Mohamed, M. D. A., E. A. Soliman, and M. A. El-Gamal, "Optimization and characterization of electromagnetically coupled patch antennas using RBF neural networks", Journal of Electromagnetic Waves and Applications, vol. 20, no. 8: Taylor & Francis, pp. 1101–1114, 2006. Abstract
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Mohamed, M. D. A., E. A. Soliman, and M. A. El-Gamal, "Optimization and characterization of electromagnetically coupled patch antennas using RBF neural networks", Journal of Electromagnetic Waves and Applications, vol. 20, issue 8: Taylor & Francis, pp. 1101-1114, 2006. Abstract
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El-Yazeed, M. F., M. A. El Gamal, and M. M. H. El Ayadi, "On the determination of optimal model order for GMM-based text-independent speaker identification", EURASIP Journal on Applied Signal Processing, vol. 2004: Hindawi Publishing Corp., pp. 1078-1087, 2004. Abstract
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MA, E. G., and E. A. MMH, "On the Determination of Optimal Model Order for GMM-Based Text-Independent Speaker Identification", EURASIP Journal on Advances in Signal Processing, vol. 2004, issue 8: Hindawi Publishing Corporation, pp. 1078-1087, 1900. Abstract

Gaussian mixture models (GMMs) are recently employed to provide a robust technique for speaker identification. The determination of the appropriate number of Gaussian components in amodel for adequate speaker representation is a crucial but difficult problem. This number is in fact speaker dependent. Therefore, assuming a fixed number of Gaussian components for all speakers is not justified. In this paper, we develop a procedure for roughly estimating the maximum possible model order above which the estimation of model parameters becomes unreliable. In addition, a theoretical measure, namely, a goodness of fit (GOF) measure is derived and utilized in estimating the number of Gaussian components needed to characterize different speakers. The estimation is carried out by exploiting the distribution of the training data for each speaker. Experimental results indicate that the proposed technique provides results comparable to other well-known model selection criteria like the minimum description length (MDL) and the Akaike information criterion (AIC).

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El-Gamal, M. A., A. S. O. Hassan, and H. L. Abdel-Malek, "A new approach for the selection of test points for fault diagnosis", Circuits and Systems, 1995. ISCAS'95., 1995 IEEE International Symposium on, vol. 3: IEEE, pp. 2019-2022, 1995. Abstract
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El-Gamal, M. A., H. L. Abdel-Malek, and M. A. Sorour, "A neural-network-based approach for post-fabrication circuit tuning", Neural Computing & Applications, vol. 14, issue 1: Springer, pp. 25-35, 2005. Abstract
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Hesham, M., and M. El-Gamal, "Neural-Network Solution of the Nonuniqueness Problem in Acoustic Scattering Using Wavelets", International Journal for Computational Methods in Engineering Science and Mechanics, vol. 9, issue 4: Taylor & Francis, pp. 217-222, 2008. Abstract
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Abdelmouez, G., S. R. Hashem, A. F. Atiya, and M. A. El-Gamal, "Neural network vs. linear models for stock market sectors forecasting", Neural Networks, 2007. IJCNN 2007. International Joint Conference on: IEEE, pp. 1365-1369, 2007. Abstract
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Soliman, E. A., M. A. El-Gamal, and A. K. Abdelmageed, "Neural network model for the efficient calculation of Green's functions in layered media", International Journal of RF and Microwave Computer-Aided Engineering, vol. 13, no. 2: Wiley Online Library, pp. 128–135, 2003. Abstract
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Soliman, E. A., M. A. El-Gamal, and A. K. Abdelmageed, "Neural network model for the efficient calculation of Green's functions in layered media", International Journal of RF and Microwave Computer-Aided Engineering, vol. 13, no. 2: Wiley Online Library, pp. 128–135, 2003. Abstract
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Soliman, E. A., M. A. El‐Gamal, and A. K. Abdelmageed, "Neural network model for the efficient calculation of Green's functions in layered media", International Journal of RF and Microwave Computer‐Aided Engineering, vol. 13, issue 2: Wiley Online Library, pp. 128-135, 2003. Abstract
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Hesham, M., and M. A. El‐Gamal, "Neural network model for solving integral equation of acoustic scattering using wavelet basis", Communications in Numerical Methods in Engineering, vol. 24, issue 3: Wiley Online Library, pp. 183-194, 2008. Abstract
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Soliman, E. A., A. K. Abdelmageed, and M. A. El-Gamal, "Neural computation of the MoM matrix elements for planar configurations", AEU-International Journal of Electronics and Communications, vol. 56, issue 3: Elsevier, pp. 155-162, 2002. Abstract
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El-Gamal, M. A., "A knowledge-based approach for fault detection and isolation in analog circuits", Neural Networks, 1997., International Conference on, vol. 3: IEEE, pp. 1580–1584, 1997. Abstract
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El-Gamal, M. A., "A knowledge-based approach for fault detection and isolation in analog circuits", Neural Networks, 1997., International Conference on, vol. 3: IEEE, pp. 1580–1584, 1997. Abstract
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El-Gamal, M. A., "A knowledge-based approach for fault detection and isolation in analog circuits", Neural Networks, 1997., International Conference on, vol. 3: IEEE, pp. 1580-1584, 1997. Abstract
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El-Gamal, M. A., "Genetically evolved neural networks for fault classification in analog circuits", Neural Computing & Applications, vol. 11, no. 2: Springer, pp. 112–121, 2002. Abstract
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El-Gamal, M. A., "Genetically evolved neural networks for fault classification in analog circuits", Neural Computing & Applications, vol. 11, no. 2: Springer, pp. 112–121, 2002. Abstract
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El-Gamal, M. A., "Genetically evolved neural networks for fault classification in analog circuits", Neural Computing & Applications, vol. 11, issue 2: Springer, pp. 112-121, 2002. Abstract
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Abdulghafour, M., and M. A. El-Gamal, "A fuzzy logic system for analog fault diagnosis", Circuits and Systems, 1996. ISCAS'96., Connecting the World., 1996 IEEE International Symposium on, vol. 1: IEEE, pp. 97-100, 1996. Abstract
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El-Gamal, M., and S. El-Tantawy, "Fuzzy Inference System and Neuro-Fuzzy Systems for Analog Fault Diagnosis", Electrical Engineering Research, vol. 1, issue 4: Science and Engineering Publishing, 2013. Abstract
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