Dr Sin Lee


NameDr Sin Lee
Job titleSenior Lecturer
Email addresss.w.lee@uel.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

Activities of daily life recognition using process representation modelling to support intention analysis

Naeem, U., Bashroush, R., Anthony, Richard, Azam, Muhammad Awais, Tawil, Abdel Rahman, Lee, S. and Mou-Ling, Dennis 2015. Activities of daily life recognition using process representation modelling to support intention analysis. International Journal of Pervasive Computing and Communications. 11 (3), pp. 347-371.

Direct state feedback optimal control of a double integrator plant implemented by an artificial neural network

Matieni, Xavier, Dodds, Stephen J. and Lee, S. 2011. Direct state feedback optimal control of a double integrator plant implemented by an artificial neural network. Advances in Computing and Technology. University of East London, London Jan 2011 London University of East London, School of Architecture Computing and Engineering.

Closed-loop control using a backpropagation algorithm: a practicable approach for energy loss minimisation in electrical drives.

Matieni, Xavier, Dodds, Stephen J. and Lee, S. 2010. Closed-loop control using a backpropagation algorithm: a practicable approach for energy loss minimisation in electrical drives. Proceedings of Advances in Computing and Technology, (AC&T) The School of Computing and Technology 5th Annual Conference, University of East London, pp. 72-78

Question response grouping for online diagnostic feedback

Lee, S., Palmer-Brown, Dominic, Draganova, Chrisina, Preston, David and Kretsis, Mike 2009. Question response grouping for online diagnostic feedback. Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 4th Annual Conference University of East London pp. 68-76

Automated updating of road network databases: road segment grouping using snap-drift neural network

Ekpenyong, Frank, Brimicombe, Allan J., Palmer-Brown, Dominic, Li, Yang and Lee, S. 2007. Automated updating of road network databases: road segment grouping using snap-drift neural network. Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 2nd Annual Conference University of East London pp. 160-167

An assessment of neural network algorithms that could aid SME survival

Walcott, Terry H., Palmer-Brown, Dominic, Williams, Godfried, Mouratidis, Haralambos and Lee, S. 2007. An assessment of neural network algorithms that could aid SME survival. Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 2nd Annual Conference University of East London pp. 120-127

Feature discovery using snap-drift neural networks

Lee, S. and Palmer-Brown, Dominic 2007. Feature discovery using snap-drift neural networks. Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 2nd Annual Conference University of East London pp. 61-70

Modal Learning in a Neural Network

Lee, S. and Palmer-Brown, Dominic 2006. Modal Learning in a Neural Network. Proceedings of the AC&T, pp. 42-47

Performance-guided Neural Network for Self-Organising Network Management

Lee, S., Palmer-Brown, Dominic, Tepper, Jonathan and Roadknight, Christopher 2002. Performance-guided Neural Network for Self-Organising Network Management. Proceedings of London Communication Symposium (LCS'2002) University College London, London, UK, 9th – 10th September, pp. 269 - 272

Fast Learning Neural Nets with Adaptive Learning Styles

Palmer-Brown, Dominic, Lee, S., Tepper, Jonathan and Roadknight, Chris 2003. Fast Learning Neural Nets with Adaptive Learning Styles.

Snap-Drift: Real-time, Performance-guided Learning

Lee, S., Palmer-Brown, Dominic, Tepper, Jonathan and Roadknight, Christopher 2003. Snap-Drift: Real-time, Performance-guided Learning.

Continuous Reinforced Snap-Drift Learning in a Neural Architecture for Proxylet Selection in Active Computer Networks

Palmer-Brown, Dominic and Lee, S. 2005. Continuous Reinforced Snap-Drift Learning in a Neural Architecture for Proxylet Selection in Active Computer Networks. International Journal on Simulation: Systems, Science and Technology. 6 (9), pp. 11-21.

The Analysis of Network Manager’s Behaviour using a Self-Organising Neural Networks

Palmer-Brown, Dominic and Lee, S. 2005. The Analysis of Network Manager’s Behaviour using a Self-Organising Neural Networks. International Journal on Simulation: Systems, Science and Technology. 6 (9), pp. 22-32.

Phonetic Feature Discovery in Speech using Snap-Drift

Lee, S. and Palmer-Brown, Dominic 2006. Phonetic Feature Discovery in Speech using Snap-Drift.

Early SME Market Prediction using USDNN

Walcott, Terry H., Palmer-Brown, Dominic and Lee, S. 2008. Early SME Market Prediction using USDNN. in: Proceedings of the International Conference of Computational Intelligence and Intelligent Systems (ICCIIS'2008) International Association of Engineers.

A Neural Network Approach for Intrusion Detection Systems

Beqiri, Elidon, Lee, S. and Draganova, Chrisina 2010. A Neural Network Approach for Intrusion Detection Systems. 5th Conference in Advances in Computing and Technology (London, United Kingdom, 27th Jan), pp. 209 -217

Diagnostic Feedback by Snap-drift Question Response Grouping

Lee, S., Palmer-Brown, Dominic and Draganova, Chrisina 2008. Diagnostic Feedback by Snap-drift Question Response Grouping. in: Proceedings of 9th WSEAS International Conference on Neural Networks (NN'08) Stevens Point (WI), USA World Scientific and Engineering Academy and Society. pp. 208-214

Modal Learning Neural Networks

Palmer-Brown, Dominic, Lee, S., Draganova, Chrisina and Kang, Miao 2009. Modal Learning Neural Networks.

Snap-Drift Neural Network for Selecting Student Feedback

Palmer-Brown, Dominic, Draganova, Chrisina and Lee, S. 2009. Snap-Drift Neural Network for Selecting Student Feedback. International Joint Conference on Neural Networks, IJCNN 2009. Atlanta, Georgia, USA 14 - 19 Jun 2009 IEEE.
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