Links to paper full text
- S. Patchararungruang, S.K. Halgamuge and N. Shenoy, "Optimized Rule-Based Delay Proportion Adjustment for Proportional Differentiated Services", IEEE Journal on Selected Areas in Communications (Special Issue on Intelligent Services and Applications in Next generation networks), IEEE Press, accepted in 2004.
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- A. Rathnaweera, S. K. Halgamuge and H. C. Watson, "Self-Organizing Hierarchical Particle Swarm Optimizer with time varying acceleration coefficients", IEEE Transactions on Evolutionary Computation, June 2004, IEEE Press.
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- B. Chang and A. Rathnaweera and S. K. Halgamuge and H. C. Watson, "Particle Swarm Optimisation for Protein Motif Discovery", Journal of Genetic Programming and Evolvable Machines, Kluwer June 2004.
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- A. Hsu and S. Tang and S. K. Halgamuge, "An Unsupervised Hierarchical Dynamic Self-Organising Approach to Class Discovery and Marker Gene Identification in Microarray Data", Bioinformatics, Oxford University Press, November 2003.
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- B. Chang and S. K. Halgamuge, “Protein Motif Extraction with Neuro-Fuzzy Systems”, Bioinformatics, Oxford University Press, vol 18, pp 1084-1090, 2002.
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- D. Alahakoon, S. K. Halgamuge and B. Srinivasan, "Dynamic Self Organising Maps with Controlled Growth for Knowledge Discovery", IEEE Transactions on Neural Networks (Special Issue in Data Mining), 2000.
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- S. K. Halgamuge, "A Trainable Transparent Universal Approximator for Defuzzification in Mamdani Type Neuro-Fuzzy Controllers", IEEE Transactions on Fuzzy Systems, May 1998.
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- S. K. Halgamuge, "Self Evolving Neural Networks for Rule Based Data Processing", IEEE Transactions on Signal Processing, November 1997.
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- Hollstein, T., Halgamuge, S.K. and Glesner, M., "Computer-aided design of fuzzy systems based on generic VHDL specifications", IEEE Transactions on Fuzzy Systems, Vol. 4, pp 403-417 November 1996.
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S. K. Halgamuge and M. Glesner, "Neural Networks in Designing Fuzzy Systems for Real World Applications", International Journal for Fuzzy Sets and Systems, Vol 65, No. 1, pp 1-12, 1994.
A highly cited paper in the last 10 years in Engineering (ISI Essential Science indicators).
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