Emad A. El-Sebakhy

Emad A. El-Sebakhy, Ognian Asparouhov, Abdul-Azeez Abdulraheem, Abdul-Aziz Al-Majed, Donghui Wu, Kris Latinski, Iputu Raharja: Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir. Expert Syst. Appl. 39(12): 10359-10375 (2012)

Emad A. El-Sebakhy: Functional networks as a novel data mining paradigm in forecasting software development efforts. Expert Syst. Appl. 38(3): 2187-2194 (2011)

Emad A. El-Sebakhy: Flow regimes identification and liquid-holdup prediction in horizontal multiphase flow based on neuro-fuzzy inference systems. Mathematics and Computers in Simulation 80(9): 1854-1866 (2010)

Emad A. El-Sebakhy: Software reliability identification using functional networks: A comparative study. Expert Syst. Appl. 36(2): 4013-4020 (2009)

Emad A. El-Sebakhy: Data mining in forecasting PVT correlations of crude oil systems based on Type1 fuzzy logic inference systems. Computers & Geosciences 35(9): 1817-1826 (2009)

Emad A. El-Sebakhy, Ognian Asparouhov, Tarek Sheltami, Krassimir Latinski, Salahadin Mohammed: New Data Mining and Intelligence System Scheme in Protein Structure Prediction based on Extreme Learning Machine. BIOCOMP 2009: 797-803

Emad A. El-Sebakhy, Tarek Sheltami, Asparouhov Asparouhov, Krassimir Latinski, Zeehasham Rasheed: Extreme Lerning Machine Classifier Capablities in Solving Multicategory Disease Classification Problems. DMIN 2009: 580-585

Emad A. El-Sebakhy: New Computational Intelligence Paradigm for Estimating the Software Project Effort. AINA Workshops 2008: 621-627

Emad A. El-Sebakhy, Ali S. Hadi, Kanaan A. Faisal: Iterative Least Squares Functional Networks Classifier. IEEE Transactions on Neural Networks 18(3): 844-850 (2007)

Emad A. El-Sebakhy, Iputu Raharja, S. Adem, Y. Khaeruzzaman: Neuro-Fuzzy Systems Modeling Tools for Bacterial Growth. AICCSA 2007: 374-380

Emad A. El-Sebakhy, Salahadin Mohammed, Moustafa Elshafei: Dynamic Programming Algorithm for Training Functional Networks. IC-AI 2007: 801-805

Emad A. El-Sebakhy, Abdul-Azeez Abdulraheem, M. Ahmed: Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems. IICAI 2007: 1089-1107

Emad A. El-Sebakhy, Kanaan A. Faisal: Bacterial Growth Classification with Support Vector Machines: A Comparative Study. MLMTA 2007: 90-98

Muhammad Kashif, Tarek Helmy, Emad A. El-Sebakhy: A Priority-Based MLFQ Scheduler for CPU Power Saving. AICCSA 2006: 130-134

Emad A. El-Sebakhy, Kanaan A. Faisal, Tarek Helmy, Farag Azzedin, A. Al-Suhaim: Evaluation of Breast Cancer Tumor Classification with Unconstrained Functional Networks Classifier. AICCSA 2006: 281-287

Emad A. El-Sebakhy: Functional networks training algorithm for statistical pattern recognition. ISCC 2004: 92-97