Abdel-Aal, R. E. and El-Sayed
M. El-Alfy, Constructing optimal educational tests using
GMDH-based item ranking and selection, Neurocomputing
(2008)
Abdel-Aal, R. E., “Univariate
modeling and forecasting of monthly energy demand time series using abductive and neural networks ” Computers and Industrial
Engineering, In Press.
El-Sayed M. El-Alfy and Radwan E. Abdel-Aal, “Construction
and analysis of educational tests using abductive
machine learning”, Computers and
Education, In Press (2007).
Abdel-Aal, R. E., “Predictive Modeling
of Mercury Speciation in Combustion Flue GasesUsing
GMDH-Based Abductive Networks,” Journal of Fuel
Processing Technology Fuel Processing Technology, Vol. 88, 2007, pp. 483-491.
Abdel-Aal,
R. E., Abdel-Halim, M. R. E. and Abdel-Aal, S., “Improving the classification
of multiple disorders with problem decomposition,” Journal of Biomedical Informatics Vol. 39 (2006), pp. 612-625.
Abdel-Aal, R. E., “Modeling and
forecasting electric daily peak loads using abductive
networks,” Electrical Power and Energy Systems, Vol. 28 (2006), pp. 133-141.
(Paper ranked 9th among the top 25
papers which were most frequently downloaded form the journal’s site on Science
Direct during the first quarter of 2006).
Abdel-Aal,
R. E., “Improved classification of medical data using abductive
network committees trained on different feature subsets,” Computer Methods and
Programs in Boimedicine, Vol. 80 (2005), pp. 141-153.
Abdel-Aal, R. E., “GMDH-based feature ranking and selection for improved classification of
medical data,” Journal of Biomedical Informatics, Vol. 38 (2005), pp.
456-468.
Abdel-Aal, R. E., “Improving electric load forecasts using
network committees”, Electric Power Systems Research. Vol. 74 (2005), pp.
83–94.
Abdel-Aal,
R. E., “Hourly temperature forecasting using abductive networks,” Engineering
Applications of Artificial
Intelligence, Vol. 17 (2004), pp. 543-556.
(Paper
ranked 18th among the top 25 papers which were most frequently downloaded form
the journal’s site on Science Direct during the first quarter of 2005).
Abdel-Aal, R. E., “Abductive network committees for improved
classification of medical data,” Methods of Information in Medicine, Vol. 43
(2004), pp. 192-201.
Abdel-Aal, R. E., “Short term hourly load forecasting using
abductive networks,” IEEE Transactions on Power Systems, Vol. 19 (2004), pp. 164-173.
Abdel-Aal, R. E., “Experimental evaluation of performance
improvements in abductive network classifiers with problem decomposition,”
Neurocomputing, Vol. 61 (2004), pp. 193-215.
Abdel-Aal,
R. E., “Direct estimation of noisy sinusoids using abductive networks,”
Engineering Applications of Artificial Intelligence, Vol. 16 (2003), pp.
615-627.
Abdel-Aal, R. E., “Comparison of algorithmic and machine
learning approaches for the automatic fitting of Gaussian peaks,” Neural
Computing and Applications, Vol. 11 (2002), pp. 17-29.
Abdel-Aal, R. E. and Raashid, M., “Using abductive machine learning for online vibration monitoring
of turbo molecular pumps,” Shock and
Vibration, Vol. 6 (1999), pp. 253-265.
Abdel-Halim, R.
E. and Abdel-Aal, R. E., “Classification of urinary stones by cluster analysis
of ionic composition data,” Computer
Methods and Programs in Bioscience,
Vol. 58 (1999), pp. 69-81.
Abdel-Aal, R. E. and Mangoud, A. M.,
“Modeling and forecasting monthly patient volume at a primary health care
clinic using univariate time-series analysis,” Computer Methods and Programs in Biomedicine, Vol. 56 (1998), pp. 235-247.
Abdel-Aal,
R. E., “Automatic fitting of Gaussian peaks using abductive
machine learning,” IEEE Transactions on
Nuclear Science, Vol. 45
(1998), pp. 1-16.
Amin,
A. A., Osman, M. Y., Abdel-Aal, R. E., and Al-Muhtaseb H., “New Fault models and efficient BIST
algorithms for dual port memories,” IEEE
Transactions on Computer-Aided Design of Integrated Circuits and Systems,
Vol. 16 (1997), pp. 987-1000.
Abdel-Aal, R. E. and Mangoud, A. M.,
“Modeling obesity using abductive networks,” Computers and Biomedical Research, Vol. 30 (1997), pp. 451-471.
Abdel-Aal,
R. E. and Al-Haddad M. N., “Determination of radioisotopes in gamma-ray
spectroscopy using abductive machine learning,” Nucl
Inst Meth
in Physics Research, Vol.
A391 (1997), pp. 275-288.
Abdel-Aal,
R. E. and Al-Garni, A. Z., “Forecasting monthly
electric engineering consumption in eastern Saudi Arabian using univariate time series analysis,” Energy - The International Journal, Vol. 22 (1997), pp. 1059-1096.
Abstracted
in Fuel and Energy Abstracts, Vol. 38, 1997, p. 452.
Abdel-Aal,
R. E., Al-Garni, A. Z., and Al-Nassar, Y. N., “Modelling and forescasting
monthly electric energy consumption in eastern Saudi Arabia using abductive
networks,” Energy - The International Journal, Vol. 22 (1997), pp. 911-921.
Abstracted
in Fuel and Energy Abstracts, Vol. 38, 1997,
p. 324.