 | 2009 |
| 12 |  | 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 |
| 11 |  | 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 |
| 10 |  | Emad A. El-Sebakhy:
Software reliability identification using functional networks: A comparative study.
Expert Syst. Appl. 36(2): 4013-4020 (2009) |
| 2008 |
| 9 |  | Emad A. El-Sebakhy:
New Computational Intelligence Paradigm for Estimating the Software Project Effort.
AINA Workshops 2008: 621-627 |
| 2007 |
| 8 |  | Emad A. El-Sebakhy,
I. Raharja,
S. Adem,
Y. Khaeruzzaman:
Neuro-Fuzzy Systems Modeling Tools for Bacterial Growth.
AICCSA 2007: 374-380 |
| 7 |  | Emad A. El-Sebakhy,
Salahadin Mohammed,
Moustafa Elshafei:
Dynamic Programming Algorithm for Training Functional Networks.
IC-AI 2007: 801-805 |
| 6 |  | Emad A. El-Sebakhy,
A. Abdulraheem,
M. Ahmed:
Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems.
IICAI 2007: 1089-1107 |
| 5 |  | Emad A. El-Sebakhy,
Kanaan A. Faisal:
Bacterial Growth Classification with Support Vector Machines: A Comparative Study.
MLMTA 2007: 90-98 |
| 4 |  | 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) |
| 2006 |
| 3 |  | Muhammad Kashif,
Tarek Helmy,
Emad A. El-Sebakhy:
A Priority-Based MLFQ Scheduler for CPU Power Saving.
AICCSA 2006: 130-134 |
| 2 |  | 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 |
| 1 |  | Emad A. El-Sebakhy:
Functional networks training algorithm for statistical pattern recognition.
ISCC 2004: 92-97 |