Emad A. El-Sebakhy

According to our database, Emad A. El-Sebakhy authored at least 16 papers between 2004 and 2012.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2012

Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir.

Emad A. El-Sebakhy, Ognian Asparouhov, Abdulazeez Abdulraheem, Abdulaziz Al-Majed, Donghui Wu, Kris Latinski, Iputu Raharja

Expert Syst. Appl., 2012

2011

Functional networks as a novel data mining paradigm in forecasting software development efforts.

Emad A. El-Sebakhy

Expert Syst. Appl., 2011

2010

Flow regimes identification and liquid-holdup prediction in horizontal multiphase flow based on neuro-fuzzy inference systems.

Emad A. El-Sebakhy

Math. Comput. Simul., 2010

2009

Data mining in forecasting PVT correlations of crude oil systems based on Type1 fuzzy logic inference systems.

Emad A. El-Sebakhy

Comput. Geosci., 2009

Software reliability identification using functional networks: A comparative study.

Emad A. El-Sebakhy

Expert Syst. Appl., 2009

Extreme Lerning Machine Classifier Capablities in Solving Multicategory Disease Classification Problems.

Emad A. El-Sebakhy, Tarek R. Sheltami, Asparouhov Asparouhov, Krassimir Latinski, Zeehasham Rasheed

Proceedings of The 2009 International Conference on Data Mining, 2009

New Data Mining and Intelligence System Scheme in Protein Structure Prediction based on Extreme Learning Machine.

Emad A. El-Sebakhy, Ognian Asparouhov, Tarek R. Sheltami, Krassimir Latinski, Salahadin Mohammed

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

2008

New Computational Intelligence Paradigm for Estimating the Software Project Effort.

Emad A. El-Sebakhy

Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008

2007

Iterative Least Squares Functional Networks Classifier.

Emad A. El-Sebakhy, Ali S. Hadi, Kanaan A. Faisal

IEEE Trans. Neural Networks, 2007

Bacterial Growth Classification with Support Vector Machines: A Comparative Study.

Emad A. El-Sebakhy, Kanaan A. Faisal

Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

Forecasting PVT Correlations of Crude Oil Systems Using Type1 Fuzzy Logic Inference Systems.

Emad A. El-Sebakhy, Abdulazeez Abdulraheem, Motaz Ahmed

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Dynamic Programming Algorithm for Training Functional Networks.

Emad A. El-Sebakhy, Salahadin Mohammed, Moustafa Elshafei

Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

Neuro-Fuzzy Systems Modeling Tools for Bacterial Growth.

Emad A. El-Sebakhy, Iputu Raharja, S. Adem, Yaman Khaeruzzaman

Proceedings of the 2007 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2007), 2007

2006

A Priority-Based MLFQ Scheduler for CPU Power Saving.

Muhammad Kashif, Tarek Helmy, Emad A. El-Sebakhy

Proceedings of the 2006 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2006), 2006

Evaluation of Breast Cancer Tumor Classification with Unconstrained Functional Networks Classifier.

Emad A. El-Sebakhy, Kanaan A. Faisal, Tarek Helmy, Farag Azzedin, A. Al-Suhaim

Proceedings of the 2006 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2006), 2006

2004

Functional networks training algorithm for statistical pattern recognition.

Emad A. El-Sebakhy

Proceedings of the 9th IEEE Symposium on Computers and Communications (ISCC 2006), June 28, 2004