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Saman K. Halgamuge
Saman K. Halgamuge
FIEEE, FIET, Prof of Engineering, University of Melbourne, Honorary Professor of ANU and ITB
Zweryfikowany adres z unimelb.edu.au - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
A Ratnaweera, S Halgamuge, HC Watson
IEEE Transactions on Evolutionary Computation 8 (3), 240-255, 2004
36602004
Dynamic self-organizing maps with controlled growth for knowledge discovery
D Alahakoon, SK Halgamuge, B Srinivasan
IEEE Transactions on neural networks 11 (3), 601-614, 2000
7032000
Neural Networks in Designing Fuzzy Systems for Real World Applications
SK Halgamuge, M Glesner
Fuzzy Sets and Systems 65 (1), 1-12, 1994
3761994
CONTRA: Copy number analysis for targeted resequencing.
J Li, R Lupat, KC Amarasinghe, ER Thompson, ........, SK Halgamuge, ...
Bioinformatics 28 (10), 1307-1313, 2012
3332012
A Review on efficient thermal management of air-and liquid-cooled data centers: From chip to the cooling system
AH Khalaj, SK Halgamuge
Applied energy 205, 1165-1188, 2017
2452017
Fuel economy improvements for urban driving: Hybrid vs. intelligent vehicles
C Manzie, H Watson, S Halgamuge
Transportation Research Part C: Emerging Technologies 15 (1), 1-16, 2007
2052007
Classification of Parkinson’s Disease Gait Using Spatial-Temporal Gait Features
F Wahid, R Begg, C Hass, S Halgamuge, D Ackland
IEEE Journal of Biomedical and Health Informatics, 2015
1862015
Combining news and technical indicators in daily stock price trends prediction
Y Zhai, A Hsu, SK Halgamuge
International symposium on neural networks, 1087-1096, 2007
1792007
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges
MA Muñoz, Y Sun, M Kirley, SK Halgamuge
Information Sciences 317, 224-245, 2015
1772015
A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems
G Coath, SK Halgamuge
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 4, 2419-2425, 2003
1702003
Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation
K Abdulla, J De Hoog, V Muenzel, F Suits, K Steer, A Wirth, S Halgamuge
IEEE Transactions on Smart Grid, 2018
1652018
Reducing the number of training samples for fast support vector machine classification
R Koggalage, S Halgamuge
Neural Information Processing-Letters and Reviews 2 (3), 57-65, 2004
1652004
Particle swarm optimisers for cluster formation in wireless sensor networks
SM Guru, SK Halgamuge, S Fernando
2005 International Conference on Intelligent Sensors, Sensor Networks and …, 2005
1372005
Analysis of SD sequences in completed microbial genomes: non-SD-led genes are as common as SD-led genes
B Chang, S Halgamuge, SL Tang
Gene 373, 90-99, 2006
1362006
Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction
B Cao, J Zhao, Z Lv, Y Gu, P Yang, S Halgamuge
IEEE Transactions on Fuzzy Systems, 2020
1342020
Exploratory landscape analysis of continuous space optimization problems using information content
M Munoz, M Kirley, S Halgamuge
IEEE Transactions on Evolutionary Computation, 1-1, 2014
1322014
Splice site identification using probabilistic parameters and SVM classification
AKMA Baten, BCH Chang, SK Halgamuge, J Li
BMC bioinformatics 7 (5), 1-15, 2006
1322006
A recursive decomposition method for large scale continuous optimization
Y Sun, M Kirley, SK Halgamuge
IEEE Transactions on Evolutionary Computation 22 (5), 647-661, 2018
1302018
A comparative study of manufacturing practices and performance variables
MA Karim, AJR Smith, SK Halgamuge, MM Islam
International Journal of Production Economics 112 (2), 841-859, 2008
1222008
Potential of air-side economizers for data center cooling: A case study for key Australian cities
J Siriwardana, S Jayasekara, SK Halgamuge
Applied Energy 104, 207-219, 2013
1202013
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