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ORCIDEmad A. El-Sebakhy
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Journal Articles
- 2012
[j6]Emad A. El-Sebakhy, Ognian Asparouhov, Abdulazeez Abdulraheem
, Abdulaziz 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)- 2011
- [j5]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) - 2010
- [j4]Emad A. El-Sebakhy:
Flow regimes identification and liquid-holdup prediction in horizontal multiphase flow based on neuro-fuzzy inference systems. Math. Comput. Simul. 80(9): 1854-1866 (2010) - 2009
- [j3]Emad A. El-Sebakhy:
Software reliability identification using functional networks: A comparative study. Expert Syst. Appl. 36(2): 4013-4020 (2009) - [j2]Emad A. El-Sebakhy:
Data mining in forecasting PVT correlations of crude oil systems based on Type1 fuzzy logic inference systems. Comput. Geosci. 35(9): 1817-1826 (2009) - 2007
- [j1]Emad A. El-Sebakhy, Ali S. Hadi, Kanaan A. Faisal:
Iterative Least Squares Functional Networks Classifier. IEEE Trans. Neural Networks 18(3): 844-850 (2007)
Conference and Workshop Papers
- 2009
- [c10]Emad A. El-Sebakhy, Ognian Asparouhov, Tarek R. 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 - [c9]Emad A. El-Sebakhy, Tarek R. Sheltami, Asparouhov Asparouhov, Krassimir Latinski, Zeehasham Rasheed:
Extreme Lerning Machine Classifier Capablities in Solving Multicategory Disease Classification Problems. DMIN 2009: 580-585 - 2008
- [c8]Emad A. El-Sebakhy:
New Computational Intelligence Paradigm for Estimating the Software Project Effort. AINA Workshops 2008: 621-627 - 2007
- [c7]Emad A. El-Sebakhy, Iputu Raharja, S. Adem, Yaman Khaeruzzaman:
Neuro-Fuzzy Systems Modeling Tools for Bacterial Growth. AICCSA 2007: 374-380 - [c6]Emad A. El-Sebakhy, Salahadin Mohammed, Moustafa Elshafei:
Dynamic Programming Algorithm for Training Functional Networks. IC-AI 2007: 801-805 - [c5]Emad A. El-Sebakhy, Abdulazeez Abdulraheem, Motaz Ahmed:
Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems. IICAI 2007: 1089-1107 - [c4]Emad A. El-Sebakhy, Kanaan A. Faisal:
Bacterial Growth Classification with Support Vector Machines: A Comparative Study. MLMTA 2007: 90-98 - 2006
- [c3]Muhammad Kashif, Tarek Helmy, Emad A. El-Sebakhy:
A Priority-Based MLFQ Scheduler for CPU Power Saving. AICCSA 2006: 130-134 - [c2]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 - 2004
- [c1]Emad A. El-Sebakhy:
Functional networks training algorithm for statistical pattern recognition. ISCC 2004: 92-97
Coauthor Index
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