Search Results - "Halgamuge, S."

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  1. 1

    Discovering the pharmacodynamics of conolidine and cannabidiol using a cultured neuronal network based workflow by Mendis, G. D. C., Berecki, G., Morrisroe, E., Pachernegg, S., Li, M., Varney, M., Osborne, P. B., Reid, C. A., Halgamuge, S., Petrou, S.

    Published in Scientific reports (15-01-2019)
    “…Determining the mechanism of action (MOA) of novel or naturally occurring compounds mostly relies on assays tailored for individual target proteins. Here we…”
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  2. 2

    Control period selection for improved operating performance in district heating networks by Steer, K.C.B., Wirth, A., Halgamuge, S.K.

    Published in Energy and buildings (01-02-2011)
    “…The frequency of adjustments to the supply temperature set-point in district heating networks influences the overall operating cost in two ways: adaptability…”
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  3. 3

    Splice site identification using probabilistic parameters and SVM classification by Baten, A K M A, Chang, B C H, Halgamuge, S K, Li, Jason

    Published in BMC bioinformatics (18-12-2006)
    “…Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands…”
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  4. 4

    Estimating neuronal conductance model parameters using dynamic action potential clamp by Deerasooriya, Y., Berecki, G., Kaplan, D., Forster, I.C., Halgamuge, S., Petrou, S.

    Published in Journal of neuroscience methods (01-09-2019)
    “…•An improved approach to parameterize neuronal conductance models is described.•The approach allows precise estimation of Hodgkin-Huxley model…”
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  5. 5

    Use of adaptive network burst detection methods for multielectrode array data and the generation of artificial spike patterns for method evaluation by Mendis, G D C, Morrisroe, E, Petrou, S, Halgamuge, S K

    Published in Journal of neural engineering (01-04-2016)
    “…Multielectrode arrays are an informative extracellular recording technology that enables the analysis of cultured neuronal networks and network bursts (NBs)…”
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  6. 6

    Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients by Ratnaweera, A., Halgamuge, S.K., Watson, H.C.

    “…This paper introduces a novel parameter automation strategy for the particle swarm algorithm and two further extensions to improve its performance after a…”
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  7. 7

    A comparative study of manufacturing practices and performance variables by Karim, M.A., Smith, A.J.R., Halgamuge, S.K., Islam, M.M.

    “…The reported study was conducted to compare and contrast current manufacturing practices between two countries, Australia and Malaysia, and identify the…”
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  8. 8

    Fast splice site detection using information content and feature reduction by Baten, A K M A, Halgamuge, S K, Chang, B C H

    Published in BMC bioinformatics (12-12-2008)
    “…Accurate identification of splice sites in DNA sequences plays a key role in the prediction of gene structure in eukaryotes. Already many computational methods…”
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  9. 9

    Empirical relationships between some manufacturing practices and performance by Karim, M. A., Smith, A. J. R., Halgamuge, S.

    “…Intense global competition, rapid technological changes, advances in manufacturing and information technology and discerning customers are forcing…”
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  10. 10

    An on-time delivery improvement model for manufacturing organisations by Karim, M.A., Samaranayake, P., Smith, A.J.R., Halgamuge, S.K.

    “…The purpose of this research was to develop an on-time delivery (OTD) improvement model for make-to-order (MTO) manufacturing organisations, based on: (i) a…”
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  11. 11

    An optimized anti-lock braking system in the presence of multiple road surface types by Rattasiri, W., Wickramarachchi, N., K. Halgamuge, S.

    “…In this paper, the use of adaptive anti‐lock braking system (A‐ABS) comprising of a road surface identification (RSID) system and road surface information…”
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  12. 12

    Dynamic self-organizing maps with controlled growth for knowledge discovery by Alahakoon, D., Halgamuge, S.K., Srinivasan, B.

    Published in IEEE transactions on neural networks (01-05-2000)
    “…The growing self-organizing map (GSOM) algorithm is presented in detail and the effect of a spread factor, which can be used to measure and control the spread…”
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  14. 14

    An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data by Hsu, Arthur L., Tang, Sen-Lin, Halgamuge, Saman K.

    Published in Bioinformatics (01-11-2003)
    “…Motivation: Current Self-Organizing Maps (SOMs) approaches to gene expression pattern clustering require the user to predefine the number of clusters likely to…”
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  15. 15

    Computationally advantageous and stable hierarchical fuzzy systems for active suspension by Rattasiri, W., Halgamuge, S.K.

    “…A new type of hierarchical fuzzy system (HFS), namely, hierarchical classifying-type fuzzy system (HCTFS), is developed and proposed in the paper. While the…”
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  16. 16

    Stability of hierarchical fuzzy systems generated by Neuro-Fuzzy by Saad, R., Halgamuge, S. K.

    Published in Soft computing (Berlin, Germany) (01-05-2004)
    “…Hierarchical implementation provides a way of retaining the interpretability of a fuzzy system when the number of inputs to the system is very high. Existing…”
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  17. 17

    Protein motif extraction with neuro-fuzzy optimization by Chang, Bill C.H., Halgamuge, Saman K.

    Published in Bioinformatics (01-08-2002)
    “…Motivation: It is attempted to improve the speed and flexibility of protein motif identification. The proposed algorithm is able to extract both rigid and…”
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  18. 18

    Optimized rule-based delay proportion adjustment for proportional differentiated services by Patchararungruang, S., Halgamuge, S.K., Shenoy, N.

    “…We present a novel method to adjust output queue delay proportion fairly among traffic classes of different priorities in relative differentiated services. The…”
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    Optimal road design through ecologically sensitive areas considering animal migration dynamics by Davey, Nicholas, Dunstall, Simon, Halgamuge, Saman

    “…•Incorporation of an animal migration model into optimal road design is proposed.•Computational tractability is achieved via a surrogate model.•Problem…”
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