Skip to main content
LOGO: Queen's University Belfast

Energy, Power, Intelligent Systems and Control

School of Electronics, Electrical Engineering and Computer Science

ListPublications

Professor Sean McLoone
Director of Energy, Power and Intelligent Control research cluster 		Publications
Photo of Sean McLoone  
E-mail: s dot mcloone at qub dot ac dot uk
Display Recent Publications Only (2023 onwards)
Return to biography page

 

All Publications

 

Journal Paper

  1. Gharavi Ahangar, H., Ochoa, L. F. ., Liu, X. A., Paterson, G., Ingham, B. & McLoone, S., CVR and Loss Optimization through Active Voltage Management: A Trade-off Analysis (2020), Ieee Transactions On Power Delivery , 2020

  2. Zanon, M., Zambonin, G., Susto, G. A. & McLoone, S., Sparse Logistic Regression: Comparison of Regularization and Bayesian implementations (2020), Algorithms , Vol. 13, 2020

  3. Sun, T., Liu, H., McLoone, S., Ji, S. & Wu, X., Time series indexing by dynamic covering with cross-range constraints (2020), The International Jounal on Very Large Data Bases , 2020

  4. Jin, S., Chen, L., Sun, R. & McLoone, S., A novel vSLAM framework with unsupervised semantic segmentation based on adversarial transfer learning (2020), Applied Soft Computing , Vol. 90, 2020

  5. Maggipinto, M., Beghi, A., McLoone, S. & Susto, G. A., DeepVM: A Deep Learning-based Approach with Automatic Feature Extraction for 2D Input Data Virtual Metrology (2019), Journal of Process Control , 2019

  6. Susto, G. A., Maggipinto, M., Zocco, F. & McLoone, S., Induced Start Dynamic Sampling for Wafer Metrology Optimization (2019), IEEE Transactions of Automation Science and Engineering , 2019

  7. Davison-Kernan, R., Liu, X., McLoone, S. & Fox, B., Quantification of wind curtailment on a medium-sized power system and mitigation using municipal water pumping load (2019), Renewable and Sustainable Energy Reviews , Vol. 112, 2019, (pp499-507)

  8. McLorn, G., Laverty, D., Morrow, D. & McLoone, S., Load and harmonic distortion characterization of modern low-energy lighting under applied voltage variation (2018), Electric Power Systems Research , Vol. 169, 2018, (pp124-138)

  9. McLoone, S., Johnston, A. B. & Susto, G. A., A Methodology for Efficient Dynamic Spatial Sampling and Reconstruction of Wafer Profiles (2017), IEEE Transactions of Automation Science and Engineering , Vol. 15, 2017, (pp1692-1703)

  10. Wan, J. & McLoone, S., Gaussian Process Regression for Virtual Metrology-enabled Run-to-Run Control in Semiconductor Manufacturing (2017), IEEE Transactions on Semiconductor Manufacturing , Vol. 31, 2017, (pp12-21)

  11. Zhang, Y., McLoone, S. & Cao, W., Electromagnetic Loss Modeling and Demagnetization Analysis for High Speed Permanent Magnet Machine (2017), IEEE Transactions on Magnetics , Vol. 54, 2017

  12. Puggini, L. & McLoone, S., An enhanced variable selection and Isolation Forest based methodology for anomaly detection with OES data (2017), Engineering Applications of Artificial Intelligence , Vol. 67, 2017, (pp126-135)

  13. Shirley, K., Chamney, S., Satkurunathan, P., McLoone, S. & McLoone, E., Impact of healthcare strategies on patterns of Paediatric Sight Impairment in a developed population: 1984 - 2011 : 1984-2011 (2017), Eye , Vol. 31, 2017, (pp1537-1545)

  14. Puggini, L. & McLoone, S., Forward Selection Component Analysis: Algorithms and Applications (2016), IEEE Transactions on Pattern Analysis and Machine Intelligence , Vol. 39, 2016, (pp2395-2408)

  15. Kernan, R., Liu, X., McLoone, S. & Fox, B., Demand Side Management of an Urban Water Supply Using Wholesale Electricity Price (2016), Applied Energy , Vol. 189, 2016, (pp395-402)

  16. Kim, S., McLoone, S., Byeon, J., Lee, S. & Liu, H., Cognitively-Inspired Artificial Bee Colony Clustering for Cognitive Wireless Sensor Networks (2016), Cognitive Computation , Vol. 9, 2016, (pp207-224)

  17. Yang, C. ., Liu, H., McLoone, S., Chen, C. L. P. & Wu, X., A Novel Variable Precision Reduction Approach to Comprehensive Knowledge Systems (2016), IEEE Transactions on Cybernetics , Vol. 48, 2016, (pp661-674)

  18. Zhang, Y., McLoone, S., Cao, W., Qiu, F. & Gerada, C. ., Power Loss and Thermal Analysis of a MW High Speed Permanent Magnet Synchronous Machine (2016), IEEE Transactions on Energy Conversion , Vol. 32, 2016, (pp1468-1478)

  19. Walsh, L., McLoone, S., Ronda, J., Duffy, J. F. & A. Czeisler, C., Non-contact Pressure-based Sleep/Wake Discrimination (2016), IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING , Vol. 64, 2016, (pp1750-1760)

  20. Wang, Y., Cao, H., Yan, X., Zhou, Y., Liu, X. & McLoone, S., A Generalized Fuzzy Linguistic Model for Predicting Component Concentrations in an Optical Gas Sensing System (2016), Chemometrics and Intelligent Laboratory Systems , Vol. 158, 2016, (pp21-30)

  21. McNamara, P., Meere, R., O\'Donnell, T. & McLoone, S., Control Strategues for Automatic Generation Control over MTDC Grid (2016), Control Engineering Practice , Vol. 54, 2016, (pp129-139)

  22. Zhang, Y., Cao, W., McLoone, S. & Morrow, J., Design and Flux-Weakening Control of an Interior Permanent Magnet Synchronous Motor for Electric Vehicles (2016), IEEE Transactions on Applied Superconductivity , Vol. 26, 2016

  23. Rafferty, M., Liu, X., Laverty, D. M. & McLoone, S., Real-Time Multiple Event Detection and Classification Using Moving Window PCA (2016), IEEE Transactions on Smart Grid , Vol. 7, 2016, (pp2537-2548)

  24. Gillespie, P. D., Gaida, D., Hung, P. C., Kee, R. J. & McLoone, S. F., A Bias Compensated Cross-Relation approach to Thermocouple Characterisation (2016), IFAC-PapersOnLine , Vol. 49, 2016, (pp43-48)

  25. Puggini, L. & McLoone, S., Feature Selection for Anomaly Detection Using Optical Emission Spectroscopy (2016), IFAC-PapersOnLine , Vol. 49, 2016, (pp132-137)

  26. Napier, M. L., Armstrong, D. J., McLoone, S. F. & McLoone, E. M., Congenital nasolacrimal duct obstruction: Comparison of two different treatment algorithms (2016), Journal of Pediatric Ophthalmology and Strabismus , Vol. 53, 2016, (pp285-291)

  27. Liu, X., Kennedy, J. M., Laverty, D. M., Morrow, D. J. & McLoone, S., Wide-Area Phase-Angle Measurements for Islanding Detection—An Adaptive Nonlinear Approach (2016), Ieee Transactions On Power Delivery , Vol. 31, 2016, (pp1901-1911)

  28. Susto, G. A., Schirru, A., Pampuri, S. & McLoone, S., Supervised Aggregative Feature Extraction for Big Data Time Series Regression (2015), IEEE Transactions on Industrial Informatics , Vol. 12, 2015, (pp1243-1252)

  29. Liu, H., Yang, C., Zhang, M., McLoone, S. & Sun, Y., A computational intelligent approach to multi-factor analysis of violent crime information systems (2015), Enterprise Information Systems , 2015

  30. Puggini, L., Doyle, J. & McLoone, S., Fault detection using random forest similarity distance (2015), IFAC-PapersOnLine , Vol. 48, 2015, (pp583-588)

  31. McNamara, P. & McLoone, S., Hierarchical Demand Response for Peak Minimization Using Dantzig–Wolfe Decomposition (2015), IEEE Transactions on Smart Grid , Vol. 6, 2015, (pp2807 - 2815)

  32. Liu, M., McNamara, P., Shorten, R. & McLoone, S., Residential electrical vehicle charging strategies: the good, the bad and the ugly (2015), Journal of Modern Power Systems and Clean Energy , Vol. 3, 2015, (pp190-202)

  33. Liu, X., Laverty, D. M., Best, R. J., Li, K., Morrow, D. J. & McLoone, S., Principal Component Analysis of Wide Area Phasor Measurements for Islanding Detection – A Geometric View (2015), Ieee Transactions On Power Delivery , Vol. 30, 2015, (pp976-985)

  34. Hu, Y., Cao, W., Finney, S. J., Xiao, W., Zhang, F. & McLoone, S. F., New modular structure DC-DC converter without electrolytic capacitors for renewable energy applications (2014), IEEE Transactions on Sustainable Energy , Vol. 5, 2014, (pp1184-1192)

  35. Susto, G. A., Schirru, A., Pampuri, S., McLoone, S. & Beghi, A., Machine Learning for Predictive Maintenance: A Multiple Classifiers Approach (2014), IEEE Transactions on Industrial Informatics , Vol. 11, 2014, (pp812-820)

  36. Walsh, L. & McLoone, S., Non-contact under-mattress sleep monitoring (2014), Journal of ambient intelligence and smart environments , Vol. 6, 2014, (pp385-401)

  37. Doyle, J., Hung, P., Farrell, R. & McLoone, S., Population Mobility Dynamics Estimated from Mobile Telephony Data (2014), Journal of Urban Technology , Vol. 21, 2014, (pp109-132)

  38. McArdle, G., Demšar, U., van der Spek, S. & McLoone, S., Classifying pedestrian movement behaviour from GPS trajectories using visualization and clustering (2014), Annals of GIS , Vol. 20, 2014, (pp85-98)

  39. Liu, M. & McLoone, S., Investigation of AIMD based charging strategies for EVs connected to a low-voltage distribution network (2013), Communications in Computer and Information Science , Vol. 355, 2013, (pp433-441)

  40. Liu, M. & McLoone, S., Enhanced AIMD based decentralized residential charging of EVs (2013), Transactions of the Institute of Measurement and Control , Vol. 37, 2013, (pp853-867)

  41. Wolf, C., Gaida, D., Stuhlsatz, A., Ludwig, T., McLoone, S. & Bongards, M., Predicting organic acid concentration from UV/vis spectrometry measurements - A comparison of machine learning techniques (2013), Transactions of the Institute of Measurement and Control , Vol. 35, 2013, (pp5-15)

  42. Sweeney, K. T., McLoone, S. F. & Ward, T. E., The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique (2013), IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING , Vol. 60, 2013, (pp97-105)

  43. Sweeney, K., Wards, T. & McLoone, S., Artifact Removal in Physiological Signals – Practices and Possibilities (2012), IEEE Transactions on Information Technology in Biomedicine , Vol. 16, 2012, (pp488-500)

  44. Gaida, D., Wolf, C., Meyer, C., Stuhlsatz, A., Lippel, J., Bäck, T., Bongards, M. & McLoone, S., State Estimation for Anaerobic Digesters using the ADM1 (2012), Water Science and Technology , Vol. 66, 2012, (pp1088-1095)

  45. Schirru, A., Susto, G. A., Pampuri, S. & McLoone, S., Learning from time series : Supervised Aggregative Feature Extraction (2012), Proceedings of the IEEE Conference on Decision and Control , 2012, (pp5254-5259)

  46. Kim, S., Byeon, J., Liu, H., Abraham, A. & McLoone, S., Optimal Job Scheduling of Grid Computing Using Efficient Binary Artificial Bee Colony (2012), Soft Computing , Vol. 17, 2012, (pp867-882)

  47. Sweeney, K., Ayaz, H., Ward, T., Izzetoglu, M., McLoone, S. & Onaral, B., Methodology for Validating Artifact Removal Techniques for Physiological Signals (2012), IEEE Transactions on Information Technology in Biomedicine , Vol. 16, 2012, (pp918-926)

  48. Demšar, U., Harris, P., Brunsdon, C., Fotheringham, S. & McLoone, S., Principal Component Analysis on Spatial Data: An Overview (2012), Annals of the Association of American Geographers , Vol. 103, 2012, (pp106-128)

  49. Liu, H., Abraham, A., Snášel, . V. . & McLoone, S., Swarm scheduling approaches for work-flow applications with security constraints in distributed data-intensive computing environments (2012), Information Sciences , Vol. 192, 2012, (pp228-243)

  50. Liu, H., Abraham, A., Zhang, W. & McLoone, S., A swarm-based rough set approach for FMRI data analysis (2011), International Journal of Innovative Computing, Information and Control , Vol. 7, 2011, (pp3121-3132)

  51. Flynn, B. & McLoone, S., Max separation clustering for feature extraction from Optical Emission Spectroscopy Data (2011), IEEE Transactions on Semiconductor Manufacturing , Vol. 24, 2011, (pp480-488)

  52. Schirru, A., Pampuri, S., De Nicolao, G. & McLoone, S., Efficient Marginal Likelihood Computation for Gaussian Process Regression (2011), eprint arXiv:1110.6546 , Vol. 1110, 2011, (pp6546)

  53. Asirvadam, V. S. & McLoone, S., Ensemble Separable Recursive Techniques for MLP Networks (2010), Australian Journal of Intelligent Information Processing Systems , Vol. 12, 2010, (pp7-12)

  54. Ringwood, J., Bacelli, G., Lynn, S., Ma, B., Ragnoli, E. & McLoone, S., Estimation and Control in Semiconductor Etch: Practice and Possibilities (2010), IEEE Transactions on Semiconductor Manufacturing , Vol. 23, 2010, (pp87-97)

  55. Asirvadam, V. S., Saad, N., Elamin, J. & McLoone, S., Sliding-Window Moving Average Learning for System with Lossy Packets (2010), Australian Journal of Intelligent Information Processing Systems , Vol. 11, 2010, (pp8-15)

  56. Wolf, C., McLoone, S. & Bongards, M., Biogas plant control and optimization using Computational Intelligence methods (2009), at - Automatisierungstechnik , Vol. 57, 2009, (pp638-649)

  57. Hung, P., McLoone, S. & Farrell, R., Direct and Indirect Classification of High Frequency LNA Gain Performance – A Comparison between SVMs and MLPs (2009), International Journal of Computing , Vol. 8, 2009, (pp24-31)

  58. Kelly, D., McLoone, S. & Dishongh, T., Enabling Affordable and Efficiently Deployed Location Based Smart Home Systems (2009), Technology and Health Care , Vol. 17, 2009, (pp221-235)

  59. Hung, P. C., McLoone, S. F., Irwin, G. W. & Kee, R. J., Sliding window two-thermocouple sensor characterization for variable flow environments (2008), Transactions of the Institute of Measurement and Control , Vol. 30, 2008, (pp349-370)

  60. McLoone, N., Donnelly, R., Walsh, M., Dolan, O., McLoone, S., McKenna, K. & McCarron, P., Aminolaevulinic acid diffusion characteristics in 'in vitro' normal human skin and actinic keratosis: implications for topical photodynamic therapy (2008), PHOTODERMATOLOGY PHOTOIMMUNOLOGY & PHOTOMEDICINE , Vol. 24, 2008, (pp183-190)

  61. Ribes-Gomez, E., McLoone, S. & Irwin, G., A taxonomy for wavelet neural networks applied to nonlinear modelling (2008), International Journal of Systems Science , Vol. 39, 2008, (pp607-627)

  62. McLoone, S., Hung, P., Irwin, G. & Kee, R., Difference equation sensor characterization algorithms for two-thermocouple probes (2008), Transactions of the Institute of Measurement and Control , Vol. 30, 2008, (pp173-199)

  63. McLoone, E., O\'Keefe, M., McLoone, S. & Lanigan, B., Effect of diode laser retinal ablative therapy for threshold retinopathy of prematurity: Results of Goldmann perimetry at mean age of 11 years (2007), Journal of Pediatric Ophthalmology and Strabismus , Vol. 44, 2007, (pp170)

  64. McLoone, E., O\'Keefe, M., McLoone, S. & Lanigan, B., Effect of diode laser retinal ablative therapy for threshold retinopathy of prematurity on the visual field : Results of Goldmann perimetry at a mean age of 11 years (2007), Journal of Pediatric Ophthalmology and Strabismus , Vol. 44, 2007, (pp170-173)

  65. Kee, R., Hung, P., Fleck, B., Irwin, G., Kenny, R., Gaynor, J. & McLoone, S., Fast Response Exhaust Gas Temperature Measurement in IC Engines (2007), SAE 2006 Transactions Journal of Passenger Cars: Electronic and Electrical Systems , Vol. 115, 2007, (pp598-609)

  66. Hung, P., Kee, R., Irwin, G. & McLoone, S., Blind Deconvolution for Two-thermocouple Sensor Characterisation (2007), Journal of Dynamic Systems Measurement and Control , Vol. 129 (2), 2007, (pp194-202)

  67. McLoone, S., Hung, P., Irwin, G. & Kee, R., Exploiting a priori time constant ratio information in difference equation two-thermocouple sensor characterisation (2006), IEEE Sensors Journal , Vol. 6, 2006, (pp1627-1637)

  68. McLoone, E., O\'Keefe, M., McLoone, S. & Lanigan, B., Long term refractive and biometric outcomes following diode laser therapy for retinopathy of prematurity (2006), Journal of the American Association for Pediatric Ophthalmology and Strabismus , Vol. 10, 2006, (pp454)

  69. McLoone, E., O\'Keefe, M., McLoone, S. & Lanigan, B., Long term functional and structural outcomes of laser therapy for retinopathy of prematurity (2006), British Journal of Ophthalmology , Vol. 90, 2006, (pp754-759)

  70. McLoone, E., O\'Keefe, M., Donoghue, V., McLoone, S., Horgan, N. & Lanigan, B., RetCam image analysis of optic disc morphology in premature infants and its relation to ischaemic brain injury (2006), British Journal of Ophthalmology , Vol. 90, 2006, (pp465)

  71. Asirvadam, V., McLoone, S. & Irwin, G., Computationally efficient sequential learning algorithms for direct link resource-allocating networks (2005), Neurocomputing , Vol. 69, 2005, (pp142-157)

  72. Govindhasamy, J., McLoone, S., Irwin, G., French, J. & Doyle, R., Neural modelling, control and optimisation of an industrial grinding process (2005), Control Engineering Practice , Vol. 13, 2005, (pp1243-1258)

  73. Sharma, S., McLoone, S. & Irwin, G., Genetic algorithms for local controller network construction (2005), IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS , Vol. 152, 2005, (pp587-597)

  74. Ringwood, J., Devitt, F., Doherty, S., Farrell, R., Lawlor, B., McLoone, S., Rogers, A., Villing, R. & Ward, T., A resource management tool for implementing strategic direction in an academic department (2005), Higher Education Policy and Management , Vol. 27, 2005, (pp273-283)

  75. Govindasamy, J., McLoone, S. & Irwin, G., Second-Order Training of Adaptive Critics for Online Process Control (2005), IEEE Transactions on Systems, Man and Cybernetics Part B , Vol. 35(2), 2005, (pp381-385)

  76. Hung, P. C., Irwin, G., Kee, R. & McLoone, S., Difference equation approach to two-thermocouple sensor characterization in constant velocity flow environments (2005), Review of Scientific Instruments, Volume 76, Issue 2, pp. 024902-024902-10 (2005). , Vol. 76, 2005, (pp4902)

  77. Govindhasamy, J., McLoone, S., Irwin, G., French, J. & Doyle, R., Reinforcement Learning for Online Industrial Process Control (2005), Journal of Advanced Computational Intelligence and Intelligent Informatics , Vol. 9, 2005, (pp23-30)

  78. Sharma, S., Irwin, G., Tokhi, M. & McLoone, S., Learning soft computing control strategies in a modular neural network architecture (2003), Engineering Applications of Artificial Intelligence , Vol. 16, 2003, (pp395-405)

  79. McLoone, S. & Irwin, G., Improving neural network training solutions using regularisation (2001), Neurocomputing , Vol. 37, 2001, (pp71-90)

  80. Irwin, G. & McLoone, S., Constructing networks of continuous-time velocity-based local models (2001), IEE Proceedings - Control Theory and Applications , Vol. 148, 2001, (pp397-405)

  81. Swidenbank, E., McLoone, S., Flynn, D., Irwin, G., Brown, M. & Hogg, B., Neural network based control for synchronous generators (1999), IEEE Transactions on Energy Conversion , Vol. 14, 1999, (pp1673-1678)

  82. McLoone, S. & Irwin, G., A Variable memory Quasi-Newton Training Algorithm (1999), Neural Processing Letters , Vol. 9, 1999, (pp77-89)

  83. McLoone, S. & Irwin, G., Nonlinear Optimization of RBF Networks (1998), International Journal of Systems Science , Vol. 29, 1998, (pp179-189)

  84. McLoone, S., Brown, M., Irwin, G. & Lightbody, G., A Hybrid Linear/Nonlinear Training Algorithm for Feedforward Neural Networks (1998), IEEE Transactions on Neural Networks , Vol. 9, 1998, (pp669-684)

  85. Flynn, D., McLoone, S., Irwin, G., Brown, M., Swidenbank, E. & Hogg, B., Neural Control of Turbogenerator Systems (1997), Automatica , Vol. 33, 1997, (pp1961-1973)

  86. McLoone, S. & Irwin, G., Fast Parallel Off-Line Training of Multilayer Perceptrons (1997), IEEE Transactions on Neural Networks , Vol. 8, 1997, (pp646-653)


Book Chapter

  1. McArdle, G., Demšar, U., Van Der Spek, S. & McLoone, S., Interpreting pedestrian behaviour by visualising and clustering movement data (2013), Web and Wireless Geographical Information Systems, , 2013, (pp64-81)

  2. Mai, W., Tweed, C., Hung, P., McLoone, S. & Farrell, R., A Practical Perspective on Building Identification from Low-Resolution Mobile Images (2008), Handbook of Research on Mobile Multimedia, , 2008, (pp329-346)

  3. Govindhasamy, J., McLoone, S., Irwin, G., French, J. & Doyle, R., Reinforcement learning for Online Control and Optimisation (2005), Intelligent Control Systems using Computational Intelligence Techniques, , 2005, (pp293-326)

  4. McLoone, S. & Irwin, G., Fast Gradient Based Off-Line Training of Multilayer Perceptrons (1995), Neural Network Engineering in Dynamic Control Systems, , 1995, (pp279-300)


Editorial

  1. Li, B. H., Spurgeon, S., Umezu, M., Fei, M., Li, K., Yue, D., Han, Q., Ma, S., Chen, L. & McLoone, S., Preface (2017), Communications in Computer and Information Science , Vol. 763, 2017, (pp5-6)

  2. Li, K., McLoone, S. & Wang, L., Intelligent Computing for Sustainable Energy and Environment (ICSEE 2012) (2014), Neurocomputing , Vol. 148, 2014, (pp198-199)

  3. Abraham, A., Liu, H., Sun, F., Guo, C., McLoone, S. & Corchado, E., Welcome message from chairs (2011), Proceedings of the 2011 International Conference of Soft Computing and Pattern Recognition, SoCPaR 2011 , 2011


Conference Paper

  1. Trimble, S., Naeem, W., McLoone, S. & Sopasakis, P., Context-aware robotic arm using fast embedded model predictive control (2020), Irish Systems and Signals Conference: Proceedings , May 2020

  2. Zocco, F. & McLoone, S., An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training (2020), 21st IFAC World Congress , Apr 2020

  3. Trimble, S., Naeem, W. & McLoone, S., Slip signal analysis on a Baxter robot (2019), 5th IFAC Conference on Intelligent Control and Automation Sciences (ICONS 2019), Belfast, United Kingdom, 21 - 23 August 2019 , Oct 2019, (pp19-24)

  4. Maggipinto, M., Susto, G. A., Zocco, F. & McLoone, S., What are the most informative data for virtual metrology? a use case on multi-stage processes fault prediction (2019), 15th IEEE International Conference on Automation Science and Engineering, CASE 2019 , Aug 2019, (pp1796-1801)

  5. Zhang, Y., McLoone, S. & Dai, R., Rotor eddy current loss research and design factors analysis on thermal performance for a high-speed permanent magnet synchronous machine (2019), 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2019 , May 2019

  6. Rainey, J., Bustard, J. & McLoone, S., Gait Recognition from Markerless 3D Motion Capture (2019), The 12th IAPR International Conference On Biometrics , Apr 2019

  7. Foster, J., Liu, X. & McLoone, S., Load forecasting techniques for power systems with high levels of unmetered renewable generation: A comparative study (2018), 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control , 2018

  8. Gharavi Ahangar, H., McLorn, G., Liu, X. & McLoone, S., Coordinating EV Charging and Dynamic CVR in a LV Network: A UK Case Study (2018), 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control , 2018

  9. McLoone, S., Zocco, F., Maggipinto, M. & Susto, G. A., On Optimising Spatial Sampling Plans for Wafer Profile Reconstruction (2018), 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control , 2018

  10. Naeem, W. & McLoone, S., Welcome to the 29th irish signals and systems conference (ISSC 2018) (2018), 29th Irish Signals and Systems Conference, ISSC 2018 , Dec 2018

  11. Trimble, S., Naeem, W. & McLoone, S., Cooperative Slip Detection Using a Dual-Arm Baxter Robot (2018), 1st International Conference on Intelligent Manufacturing and Internet of Things, IMIOT 2018 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2018 , Sep 2018, (pp246-258)

  12. Susto, G. A., Maggipinto, M., Zocco, F. & McLoone, S., A Dynamic Sampling Approach for Cost Reduction in Semiconductor Manufacturing (2018), 28th Flexible Automation and Intelligent Manufacturing Conference (FAIM2018) , Mar 2018

  13. Murray, K., McLorn, G., Morrow, D., Best, R., McLoone, S. & Liu, X., Power quality observations for solar photovoltaic inverters under part-load operation (2017), 52nd International Universities Power Engineering Conference (UPEC) , Dec 2017

  14. Kernan, R., Liu, X., McLoone, S. & Fox, B., The Effect of Wind Generation on Wholesale Electricity Prices in Ireland (2017), 16th Wind Integration Workshop , Oct 2017

  15. Zhang, Y., McLoone, S. & Cao, W., High speed permanent magnet motor design and power loss analysis (2017), 2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific , Oct 2017

  16. McLorn, G., Morrow, D., Laverty, D., Best, R., Liu, X. & McLoone, S., Enhanced ZIP load modelling for the analysis of harmonic distortion under Conservation Voltage Reduction (2017), 4th International Conference & Exhibition on Electricity Distribution , Oct 2017, (pp1094-1097)

  17. Rafferty, M., Liu, X., Laverty, D., Xie, L. & McLoone, S., Adaptive islanding detection and diagnosis using wide area monitoring (2017), IEEE International Conference on Innovative Smart Grid Technologies , Sep 2017

  18. Zhang, Y., McLoone, S. & Cao, W., Power loss and demagnetization research for high speed permanent magnet electrical machine (2017), 2017 IEEE International Magnetics Conference , Aug 2017

  19. Gharavi Ahangar, H., Liu, X. & McLoone, S., Multi-objective voltage optimisation trade-off assessment for coupled HV and LV networks (2017), 52nd International Universities Power Engineering Conference (UPEC) , Aug 2017, (pp1-6)

  20. Foster, J., Liu, X. & McLoone, S., Short-term load forecasting with high levels of distributed renewable generation (2017), 52nd International Universities Power Engineering Conference (UPEC) , Jun 2017

  21. McLorn, G. & McLoone, S., Small-Signal Refinement of Power System Static Load Modelling Techniques (2017), International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 , Jun 2017, (pp467-476)

  22. Zocco, F. & McLoone, S., Mean squared error vs. frame potential for unsupervised variable selection (2017), International Conference on Life System Modeling and Simulation, LSMS 2017 and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017 , Jun 2017, (pp353-362)

  23. Susto, G. A., Beghi, A. & McLoone, S., Anomaly Detection through on-line Isolation Forest: An application to plasma etching (2017), 28th Annual SEMI Advanced Semiconductor Manufacturing Conference , May 2017

  24. Foster, J., Liu, X. & McLoone, S., Adaptive sliding window load forecasting (2017), 28th Irish Signals and Systems Conference, ISSC 2017 , May 2017

  25. Gharavi, H., Liu, X. & McLoone, S., Warm start oriented discrete coordinate descent for dynamic CVR: A UK case study (2017), 28th Irish Signals and Systems Conference, ISSC 2017 , May 2017

  26. McLoone, S., Li, K., Naeem, W. & Spurgeon, S., Greetings from the conference chairs (2016), 2016 UKACC 11th International Conference on Control , Nov 2016

  27. Gillespie, P., Gaida, D., Hung, P., Kee, R. & McLoone, S., Noise resilient discrete-time cross-relation sensor characterisation (2016), , Sep 2016

  28. Gillespie, P., Gaida, D., Hung, P., Kee, R. & McLoone, S., A Bias Compensated Cross-Relation approach to Thermocouple Characterisation (2016), 4th IFAC International Conference on Intelligent Control and Automation Sciences , Jun 2016

  29. McLorn, G., McLoone, S., Liu, X., Morrow, D., Best, R. & Laverty, D., Impacts of conservation voltage reduction on customer power quality in future networks (2016), 51st International Universities Power Engineering Conference (UPEC), 2016: Proceedings , Jun 2016

  30. Kernan, R., Liu, X. A., McLoone, S. & Fox, B., Management of public water supply to reduce power cost and improve wind power uptake (2016), 16th International Conference on Environment and Electrical Engineering, EEEIC 2016 , Jun 2016

  31. Puggini, L. & McLoone, S., Nonlinear Forward Selection Component Analysis for Optical Emission Spectroscopy Wavelength Selection (2016), 27th Irish Signals and Systems Conference, ISSC 2016 , Apr 2016

  32. Kernan, R., Liu, X., McLoone, S. & Fox, B., Demand Side Management of Public Clean Water Supply (2015), 50th International Universities Power Engineering Conference (UPEC 2015) , Dec 2015

  33. Gillespie, P., Hung, P., Kee, R. & McLoone, S., Blind Characterisation of Sensors with Second-Order Dynamic Response (2015), 17th IFAC Symposium on System Identification , Oct 2015

  34. Puggini, L., Doyle, J. & McLoone, S., Fault Detection using Random Forest Similarity Distance (2015), 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes , Sep 2015

  35. Susto, G. A. & McLoone, S., Slow Release Drug Dissolution Profile Prediction in Pharmaceutical Manufacturing: a Multivariate and Machine Learning Approach (2015), 2015 IEEE International Conference on Automation Science and Engineering (IEEE CASE 2015) , Aug 2015

  36. Gillespie, P., McLoone, S. & Kee, R., On Generalising Difference Equation Characterisation to Higher-Order Sensor Models (2015), Irish Signals and Systems Conference , Jun 2015

  37. Puggini, L. & McLoone, S., Extreme learning machines for virtual metrology and etch rate prediction (2015), 26th Irish Signals and Systems Conference , Jun 2015, (pp1-6)

  38. McNamara, P., McLoone, S. & Milano, F., Feasibility Assessment of Plug and Play Model Predictive Control for use in DC Grids (2015), 2015 IEEE 15th International Conference on Environmental and Electrical Engineering , Jun 2015, (pp695-700)

  39. Wan, J., McLoone, S., English, P., O\'Hara, P. G. & Johnston, A., Predictive Maintenance for Improved Sustainability - An Ion Beam Etch Endpoint Detection System Use Case (2014), 2014 Intelligent Computing for Sustainable Energy and Environment (ICSEE'2014) , 2014, (pp147-156)

  40. McNamara, P., Meere, R., O\'Donnell, T. & McLoone, S., Distributed MPC for Frequency Regulation in Multi-Terminal HVDC Grids (2014), 19th World Congress of the International Federation of Automatic Control (IFAC 2014) , Aug 2014, (pp11141-11146)

  41. Kern, P., Wolf, C., Gaida, D., Bongards, M. & McLoone, S., COD and NH4-N Estimation in the Inflow of Wastewater Treatment Plants using Machine Learning Techniques (2014), 2014 IEEE International Conference on Automation Science and Engineering (IEEE CASE 2014) , Aug 2014, (pp812-817)

  42. Zanon, M., Susto, G. A. & McLoone, S., Root Cause Analysis by a Combined Sparse Classification and Monte Carlo Approach (2014), 19th World Congress of the International Federation of Automatic Control (IFAC 2014) , Aug 2014, (pp1947-1952)

  43. Pampuri, S., Susto, G. A., Wan, J., Johnston, A., O\'Hara, P. & McLoone, S., Insight Extraction for Semiconductor Manufacturing Processes (2014), 2014 IEEE International Conference on Automation Science and Engineering (IEEE CASE 2014) , Aug 2014, (pp786-791)

  44. Liu, M., McNamara, P., Shorten, R. & McLoone, S., Distributed Consensus Charging for Current Unbalance Reduction (2014), 19th World Congress of the International Federation of Automatic Control (IFAC 2014) , Aug 2014, (pp3146-3151)

  45. Susto, G. A., Wan, J., Pampuri, S., Zanon, M., Johnston, A. B., O\'Hara, P. G. & McLoone, S., An Adaptive Machine Learning Decision System for Flexible Predictive Maintenance (2014), 2014 IEEE International Conference on Automation Science and Engineering (IEEE CASE 2014) , Aug 2014, (pp806-811)

  46. Wan, J., Pampuri, S., O\'Hara, P. G., Johnston, A. B. & McLoone, S., On Regression Methods for Virtual Metrology in Semiconductor Manufacturing (2014), 25th Irish Signals and Systems Conference , Jun 2014, (pp380-385)

  47. Puggini, L., Doyle, J. & McLoone, S., Towards Multi-Sensor Spectral Alignment Through Post Measurement Calibration Correction (2014), 25th Irish Signals and Systems Conference , Jun 2014, (pp402-407)

  48. Zhang, C., Li, K., McLoone, S. & Yang, Z., Battery modelling methods for electric vehicles - a review (2014), 13th European Control Conference (ECC’2014) , Jun 2014

  49. Susto, G. A., McLoone, S., Pagano, D., Schirru, A., Pampuri, S. & Beghi, A., Prediction of integral type failures in semiconductor manufacturing through classification methods (2013), 2013 IEEE 18th International Conference on Emerging Technologies and Factory Automation, ETFA 2013 , Dec 2013

  50. Susto, G. A., Johnston, A. B., O\'Hara, P. G. & McLoone, S., Virtual metrology enabled early stage prediction for enhanced control of multi-stage fabrication processes (2013), 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 , Dec 2013, (pp201-206)

  51. Liu, M., McNamara, P. & McLoone, S., Fair charging strategies for EVs connected to a low-voltage distribution network (2013), 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 , Dec 2013

  52. Mc Namara, P. & McLoone, S., Efficient predictive demand response using laguerre functions (2013), 2013 IEEE Power and Energy Society General Meeting, PES 2013 , Dec 2013

  53. Mc Namara, P. & McLoone, S., Hierarchical demand response using dantzig-wolfe decomposition (2013), 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013 , Dec 2013

  54. Susto, G. A., Schirru, A., Pampuri, S., Pagano, D., McLoone, S. & Beghi, A., A predictive maintenance system for integral type faults based on support vector machines : An application to ion implantation (2013), 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 , Dec 2013, (pp195-200)

  55. Goel, G., Maguire, L., Li, Y. & McLoone, S., Evaluation of sampling methods for learning from imbalanced data (2013), 9th International Conference on Intelligent Computing, ICIC 2013 , Aug 2013, (pp392-401)

  56. Liu, M., McLoone, S., Studli, S., Middleton, R., Shorten, R. & Braslavs, J., On-off based charging strategies for EVs connected to a Low Voltage distributon network (2013), 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2013 , Jan 2013

  57. Wan, J., Honari, B. & McLoone, S., A dynamic sampling methodology for plasma etch processes using Gaussian process regression (2013), 2013 24th International Conference on Information, Communication and Automation Technologies, ICAT 2013 , Jan 2013

  58. Farrell, R., Carolan, E. & McLoone, S., Towards a Quantitative Model of Mobile Phone Usage Ireland - a Preliminary Study (2012), 23rd Irish Signals and Systems Conference , 2012

  59. Carolan, E., McLoone, S. & Farrell, R., Analysing Ireland's Interurban Communication Network using Call Data Records (2012), 23rd Irish Signals and Systems Conference , 2012

  60. Susto, G. A., Pampuri, S., Schirru, A., De Nicolao, G. & McLoone, S., Automatic Control and Machine Learning for Semiconductor Manufacturing : Review and Challenges (2012), 10th European Workshop on Advanced Control and Diagnosis 2012 , 2012

  61. Prakash, P. K. S., Honari, B., Johnston, A. & McLoone, S. F., Optimal wafer site selection using forward selection component analysis (2012), 2012 23rd Annual SEMI Advanced Semiconductor Manufacturing Conference, ASMC 2012 , Jul 2012, (pp91-96)

  62. Prakash, P. K. S., Schirru, A., Hung, P. & McLoone, S., MSC-clustering and forward stepwise regression for virtual metrology in highly correlated input spaces (2012), 2012 23rd Annual SEMI Advanced Semiconductor Manufacturing Conference, ASMC 2012 , Jul 2012, (pp45-50)

  63. Asirvadam, V. S., Izzeldin, H. T. A., Saad, N. & Mcloone, S. F., Semi batch learning with store management using enhanced conjugate gradient (2012), 2nd International Conference of Electrical and Electronics Engineering, ICEEE 2011 , Jan 2012, (pp61-67)

  64. Prakash, P. K. S. & McLoone, S., Plasma Etch Process Virtual Metrology using Aggregative Linear Regression (2011), Third International Conference of Soft Computing and Pattern Recognition (SocPaR 2011) , 2011

  65. Walsh, L., Moloney, E. & McLoone, S., Identification of Nocturnal Movements During Sleep Using the Non-Contact Under Mattress Bed Sensor (2011), 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2011) , 2011

  66. Sweeney, K. T., Kelly, D., Ward, T. E. & McLoone, S., A Review of the State of the Art in Artifact Removal Technologies as used in an Assisted Living Domain (2011), IET Assisted Living Conference 2011 , 2011

  67. Gaida, D., Wolf, C., Meyer, C., Stuhlsatz, A., Lippel, J., Bäck, T., Bongards, M. & McLoone, S., State Estimation for Anaerobic Digesters using the ADM1 (2011), International Symposium on Anaerobic Digestion of Solid Waste and Energy Crops 2011 , 2011

  68. Kern, P., Wolf, C., Bongards, M., Oyetoyan, T. & McLoone, S., Self-Organizing Map based operating regime estimation for state based control of Wastewater Treatment Plants (2011), Third International Conference of Soft Computing and Pattern Recognition (SocPaR 2011) , 2011

  69. Gaida, D., Brito, A., Wolf, C., Bäck, T., Bongards, M. & McLoone, S., Optimal Control of Biogas Plants Using Nonlinear MPC (2011), 22nd IET Irish Signals and Systems Conference (ISSC 2011) , 2011

  70. Doyle, J., Hung, P., Kelly, D., McLoone, S. & Farrell, R., Utilising Mobile Phone Billing Records for Travel Made Discovery (2011), 22nd IET Irish Signals and Systems Conference (ISSC 2011) , 2011

  71. Sweeney, K. T., Ayaz, H., Ward, T. E., Izzetoglu, M., McLoone, S. & Onaral, B., A Methodology for Validating Artifact Removal Techniques for fNIRS (2011), 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2011) , 2011

  72. Ahmed, K., Caughey, H., Hung, P., Demšar, U., McLoone, S., Fotheringham, A., Monteys, X., O\'Toole, R. & Harris, P., Classification and Mapping of Seabed Type from Deep Water Multi-Beam Echosounder (MBES) Data (2010), 6th International Conference on Geographic Information Science (GIScience 2010) , 2010

  73. Sweeney, K. T., McLoone, S. & Ward, T. E., A simple bio-signals quality measure for in-home monitoring (2010), The Seventh IASTED International Conference on Biomedical Engineering , 2010

  74. Ma, B., McLoone, S., Ringwood, J. & MacGearailt, N., An Analysis of Noise on Optical Emission Spectroscopy Measurements (2010), 21st IET Irish Signals and Systems Conference (ISSC 2010) , 2010

  75. Hung, P., McLoone, S. & Monteys, X., Seabed type clustering using single-beam echo sounder time series data (2010), 6th WSEAS International Conference on Remote Sensing (REMOTE'10) , 2010

  76. Doyle, J., McLoone, S., McCarthy, T. & Farrell, R., Topography of Irish Mobile Telephony Activities: Visualising Human Dynamics on a Macro Scale (2010), GeoVA(t) - Geospatial Visual Analytics: Focus on Time Workshop @ AGILE , 2010

  77. Sweeney, K. T., Leamy, D., Ward, T. E. & McLoone, S., Intelligent Artifact Classification for Ambulatory Physiological Signals (2010), 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2010) , 2010

  78. Caughey, H., Ahmed, K., Hung, P., McLoone, S., Demšar, U., Fotheringham, A., Monteys, X., O\'Toole, R. & Harris, P. ., Developing a Statistical Methodology to Improve Classification and Mapping of Seabed Type from Deep Water Multi-Beam Echo Sounder (MBES) Data (2010), GISRUK 2010 , 2010

  79. Kelly, D., McLoone, S. & Farrell, R., Minimal Hardware Bluetooth Tracking for Long-Term At-Home Elder Supervision (2010), 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC2010) , 2010

  80. Wolf, C., Gaida, D., Stuhlsatz, A., McLoone, S. & Bongards, M., Organic Acid Prediction in Biogas Plants Using UV/vis Spectroscopic Online-Measurements (2010), 2010 International Conference on Life System Modelling and Simulation & 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (LSMS & ICSEE 2010) , 2010

  81. Brown, C., Kee, R., Irwin, G., McLoone, S. & Hung, P., On generalisation of dual-thermocouple sensor characterisation to RTDs (2010), IEEE Mediterranean Electromechanical Conference , Apr 2010, (pp991-996)

  82. Tahir, M., Hung, P., Farrell, R., McLoone, S. & McCarthy, T., Lightweight Signal Processing Algorithms for Human Activity Monitoring using Dual PIR-sensor Nodes (2009), China-Ireland International Conference on Information and Communications Technologies (CIICT 2009) , 2009

  83. Ragnoli, E., McLoone, S., Lynn, S., Ringwood, J. & MacGearailt, N., Identifying key process characteristics and predicting Etch Rate from High Dimensionality Datasets (2009), IEEE/SEMI Advanced Semiconductor Manufacturing Conference (ASMC) , 2009

  84. Lynn, S., Ringwood, J., MacGearailt, N., Ragnoli, E. & McLoone, S., Virtual metrology for plasma etch using tool variables (2009), IEEE/SEMI Advanced Semiconductor Manufacturing Conference (ASMC) , 2009

  85. Doyle, J., Farrell, R., McLoone, S., McCarthy, T., Tahir, M. & Hung, P., Utilising Mobile Phone RSSI Metric for Human Activity Detection (2009), 20th IET Irish Signals and Systems Conference (ISSC 2009) , 2009

  86. Kelly, D., Behan, R., Villing, R. & McLoone, S., Computationally tractable location estimation on WiFi enabled mobile phones (2009), IET Irish Signals and Systems Conference (ISSC 2009) , 2009

  87. Doyle, J., Farrell, R., McLoone, S., McCarthy, T. & Hung, P., Extracting Localised Mobile Activity Patterns from Cumulative Mobile Spectrum RSSI (2009), China-Ireland International Conference on Information and Communications Technologies (CIICT 2009) , 2009

  88. Hung, P., Tahir, M., Farrell, R., McLoone, S. & McCarthy, T., Wireless Sensor Networks for Activity Monitoring using Multi-sensor Multi-modal Node Architecture (2009), 20th IET Irish Signals and Systems Conference (ISSC 2009) , 2009

  89. Walsh, L., McLoone, S., Behan, J., Dishongh, T., Prendergast, D. & Quigley, B., Determining Sleep Metrics and Nocturnal Activity Using an Unobtrusive Pressure Sensing Grid (2009), IET Conference on Assisted Living , 2009

  90. Ragnoli, E., McLoone, S., Lynn, S., Ringwood, J. & Macgearailt, N., Identifying key process characteristics and predicting etch rate from High-Dimension Datasets (2009), 2009 IEEE/SEMI Advanced Semiconductor Manufacturing Conference, ASMC 2009 , Oct 2009, (pp106-111)

  91. Brown, C., Kee, R., Irwin, G., McLoone, S. & Hung, P., Identification Applied to Temperature Measurement in Variable Velocity Flows (2009), 15th IFAC Symposium on System Identification , Jul 2009, (pp1-6)

  92. Milosavljevic, G., Ragnoli, E., Daniels, S., MacGearailt, N., McLoone, S. & Ringwood, J., Plasma diagnostics through five prominent oxygen triplets (2008), 61st Gaseous Electronics Conference , 2008

  93. Wolf, C., McLoone, S. & Bongards, M., Biogas plant optimization using Genetic Algorithms and Particle Swarm Optimization (2008), IET Irish Signals and Systems Conference , 2008

  94. Walsh, L., McLoone, S., Behan, J. & Dishongh, T., The Deployment of a Non-Intrusive Alternative to Sleep/WakeWrist Actigraphy in a Home-Based Study of the Elderly (2008), 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08) , 2008

  95. Ma, B., McLoone, S. & Ringwood, J., Selecting Signature Optical Emission Spectroscopy Variables Using Sparse Principal Component Analysis (2008), IEEE International Workshop on Data Mining and Artificial Intelligence (DMAI 2008) , 2008

  96. Kelly, D., McLoone, S. & Dishongh, T., A bluetooth-based minimum infrastructure home localisation system (2008), IEEE International Symposium on Wireless Communication Systems , 2008

  97. Walsh, L., McLoone, S., Behan, J. & Dishongh, T., Deployable Home-Based Sleep Monitoring (2008), 6th International Conference on Smart Homes and Health Telematics (ICOST2008) , 2008

  98. Ragnoli, E., McLoone, S., Ringwood, J. & MacGearailt, N., Matrix Factorisation Techniques for Endpoint Detection in Plasma Etching (2008), 19th IEEE/SEMI Advanced Semiconductor Manufacturing Conference , 2008

  99. Kelly, D., McLoone, S., Dishongh, T., McGrath, M. & Behan, J., Single access point location tracking for in-home health monitoring (2008), 5th Workshop on Positioning, Navigation and Communication (WPNC'08) , 2008

  100. Kelly, D., McLoone, S. & Dishongh, T., Single access point localisation for wearable wireless sensors (2008), 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08) , 2008

  101. Kelly, D., McLoone, S. & Dishongh, T., Experimental evaluation of a single access point bluetooth localisation system (2008), IET Irish Signals and Systems Conference , 2008

  102. Walsh, L., McLoone, S., Behan, J. & Dishongh, T., The deployment of a non-intrusive alternative to sleep/wake wrist actigraphy in a home-based study of the elderly (2008), 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 , Dec 2008, (pp1687-1690)

  103. Brown, C., Kee, R., Irwin, G., McLoone, S. & Hung, P., Identification Applied to Dual Sensor Transient Temperature Measurement (2008), International Conference on Control 2008, (UKACC), , Sep 2008, (pp1-10)

  104. McLoone, S., Hung, P., Irwin, G. & Kee, R., On the stability and biasedness of the cross-relation blind thermocouple characterisation method (2008), The 17th IFAC World Congress , Jul 2008, (pp1-6)

  105. Ebel, A., Bongards, M. & McLoone, S., Improving Wastewater Treatment Plants by State Controller - a Simulation Study (2007), 4th IWA Leading Edge Conference & Exhibition on Water and Wastewater Technologies (LET2007) , 2007

  106. Asirvadam, V. S., McLoone, S. & Palaniappan, R., Bio-signal identification using simple growing RBF-network (OLACA) (2007), International Conference on Intelligent and Advanced Systems (ICIAS 2007) , 2007, (pp263-267)

  107. Hung, P., McLoone, S., Sánchez, M. & Farrell, R., Inferential estimation of high frequency LNA gain performance using machine learning techniques (2007), 2007 IEEE Workshop on Machine Learning for Signal Processing , 2007

  108. Asirvadam, V. S. & McLoone, S., Adaptive Non-Stationary Cardiac Signals Identification using an Augmented MLP Network (2007), International Conference on Electrical Engineering and Informatics , 2007, (pp457-460)

  109. Wolf, C., Bongards, M. & McLoone, S., Simulation-based feed-optimization of medium-sized agricultural biogas plants (2007), 11th IWA World Congress on Anaerobic Digestion: Bioenergy for our future , 2007

  110. Ma, B., McLoone, S. & Ringwood, J., Tracking plasma etch process variations using Principal Component Analysis of OES data (2007), International Conference on Informatics in Control, Automation and Robotics (ICINCO 2007) , 2007

  111. Ebel, A., McLoone, S. & Bongards, M., Automatic Detection of Process Instabilities in Wastewater Treatment by Principal Component Analysis (2007), Irish Systems and Signals Conference , 2007

  112. Hung, P., McLoone, S., Sánchez, M., Farrell, R. & Zhang, G., Direct and Indirect Classification of High-Frequency LNA Performance using Machine Learning Techniques (2007), The Third International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP 2007) , 2007, (pp66-75)

  113. Hung, P., McLoone, S., Irwin, G. & Kee, R., Blind Two-Thermocouple Sensor Characterisation (2007), Conference on Informatics in Control, Automation and Robotics (ICINCO) , May 2007

  114. Asirvadam, V. S. & McLoone, S., Hybrid Recursive Training Algorithms for Fixed Size MLP-Networks: A Survey (2006), The 17th Irish conference on Artificial Intelligence and Cognitive Science (AICS 2006) , 2006, (pp151-160)

  115. Rogers, A. & McLoone, S., Chaos Control in First-order DPLLs (2006), IEEE Irish Systems and Signals Conference , 2006

  116. Ebel, A., Bongards, M. & McLoone, S., State based control of wastewater treatment plants - Evaluation of the algorithm in a simulation study (2006), 6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence , 2006

  117. Asirvadam, V. S. & McLoone, S., Sequential learning methods on RBF with novel approach of minimal weight update (2006), Nonlinear Statistical Signal Processing Workshop , 2006, (pp2006)

  118. Govindhasamy, J., McLoone, S. & Irwin, G., Sequential learning for adaptive critic design: An industrial control application (2005), IEEE Workshop on Machine Learning for Signal Processing (MLSP) , Sep 2005, (pp265-270)

  119. Hung, P., McLoone, S., Irwin, G. & Kee, R., Unbiased Thermocouple Sensor Characterisation in Variable Flow Environments (2005), IFAC World Congress , Jul 2005

  120. Asirvadam, V. S., McLoone, S. & Irwin, G., Fast Sequential Learning Methods on RBF Networks using Decomposed Training Algorithms (2004), 2004 IEEE International Symposium on Intelligent Control , 2004, (pp84-89)

  121. Govindhasamy, J., McLoone, S., Irwin, G. & Asirvadam, V. S., Sequential and Reinforcement Learning for Neurocontrol (2004), 2nd IFAC Workshop on Advanced Fuzzy/Neural Control , 2004, (pp37-42)

  122. Asirvadam, V. S., McLoone, S. & Irwin, G., Memory Efficient BFGS Neural-Network Learning Algorithms using MLP Networks: A Survey (2004), 2004 IEEE International Conference on Control Applications , 2004, (pp586-591)

  123. Sharma, S., McLoone, S. & Irwin, G., Genetic Algorithms for simultaneous identification of local operating regimes and local controller network design (2004), UKACC Control 2004 , 2004

  124. Govindhasamy, J., McLoone, S., Irwin, G., French, J. & Doyle, R., Advanced Control of an Industrial Grinding Process (2004), IEEE Irish Systems and Signals Conference , 2004, (pp189-194)

  125. Govindhasamy, J., McLoone, S. & Irwin, G., Reinforcement learning for process identification, control and optimisation (2004), 2nd IEEE International Conference on Intelligent Systems , Jun 2004, (pp316-321)

  126. Asirvadam, V. S., McLoone, S. & Irwin, G., Fast and Efficient Sequential Learning Algorithms using Direct-Link RBF Networks (2003), 2003 IEEE International Workshop on Neural Networks for Signal Processing , 2003, (pp209-218)

  127. Govindhasamy, J., Irwin, G. & McLoone, S., A case Study on Direct Reinforcement Neurocontrol (2003), 2003 Irish Signals and Systems Conference , 2003

  128. Duffin, M., Curry, J., Wilson, D., Irwin, G. & McLoone, S., Setting Confidence Limits for Multivariate Statistical Quality Control; a new approach (2003), 2003 Irish Signals and Systems Conference , 2003

  129. Govindhasamy, J., McLoone, S. & Irwin, G., An adaptive critic based neurocontroller for process control (2003), 13th IEEE Workshop on Neural Networks for Signal Processing (NNSP 2003) , Sep 2003, (pp849-858)

  130. Hung, P., McLoone, S., Irwin, G. & Kee, R., A Total Least Squares Approach to Sensor Characterisation (2003), 13th IFAC Symposium on System Identification, SYSID-2003 , Aug 2003

  131. Govindhasamy, J., McLoone, S., Irwin, G., French, J. & Doyle, R., Neural modelling and prediction of a disk grinding process (2003), IFAC International Conference on Intelligent Control Systems and Signal Processing , Apr 2003, (pp135-140)

  132. Asirvadam, V., McLoone, S. & Irwin, G., Sequential learning using direct link decomposed RBF neural networks (2003), IFAC International Conference on Intelligent Control Systems and Signal Processing , Apr 2003, (pp99-104)

  133. Hung, C., McLoone, S., Kee, R. & Irwin, G., Two-wire Thermocouple Sensor Characterisation (2002), UKACC Postgraduate Symposium, UKACC Conference (Control 2002) , 2002

  134. McLoone, S., Irwin, G. & McLoone, S., On Gaussian Weighting Functions For Velocity-Based Local Model Networks (2002), Irish Signals and Systems Conference , 2002, (pp135-140)

  135. Asirvadam, V. S., McLoone, S. & Irwin, G., Minimal Update Sequential Learning Algorithms for RBF Networks (2002), UKACC Postgraduate Symposium, UKACC Conference (Control 2002) , 2002

  136. Asirvadam, V. S., McLoone, S. & Irwin, G., Recursive Sliding-Window Based Neural Network Training with Data Store Management (2002), Irish Signals and Systems Conference , 2002, (pp149-153)

  137. Rong, Q., McLoone, S. & Irwin, G., On hidden coupling in multiple model based PID Controller Networks (2002), 15th IFAC World Congress on Automatic Control , 2002

  138. Ribes-Gomez, E., McLoone, S. & Irwin, G., Orthogonal wavelet network construction using local regularisation (2002), 1st International IEEE Symposium on Intelligent Systems , Sep 2002, (pp271-276)

  139. Asirvadam, V. S., McLoone, S. & Irwin, G., Parallel and separable recursive Levenberg-Marquardt training algorithm (2002), 12th IEEE Workshop on Neural Networks for Signal Processing , Sep 2002, (pp129-138)

  140. Hung, C., McLoone, S., Kee, R. & Irwin, G., A Novel Approach to Two-wire Thermocouple Temperature Reconstruction (2002), Irish Signals and Systems Conference , Jun 2002, (pp193-198)

  141. McLoone, S., Asirvadam, V. & Irwin, G., A memory optimal BFGS neural network training algorithm (2002), International Joint Conference on Neural Networks (IJCNN 02) , May 2002, (pp513-518)

  142. Asirvadam, V., McLoone, S. & Irwin, G., Separable recursive training algorithms for feedforward neural networks (2002), International Joint Conference on Neural Networks (IJCNN 02) , May 2002, (pp1212-1217)

  143. Sharma, S., McLoone, S. & Irwin, G., Genetic algorithms for local model and local controller network design (2002), 20th Annual American Control Conference (ACC) , May 2002, (pp1693-1698)

  144. Sharma, S., Irwin, G. & McLoone, S., Optimal construction of local model networks using genetic algorithms (2001), IFAC Conference on Emerging Computing Technologies , 2001, (pp590-595)

  145. Ribes-Gomez, E., McLoone, S. & Irwin, G., Construction of neural networks with multi-scale basis functions (2001), Irish Signals and Systems Conference , 2001

  146. Asirvadam, V. S., McLoone, S. & Irwin, G., Date store management in sliding window based on-line identification algorithms (2001), Irish Signals and Systems Conference , 2001

  147. Sharma, S., McLoone, S. & Irwin, G., Genetic learning for construction and parameter identification of local model networks (2001), European Control Conference , 2001

  148. McLoone, S., Irwin, G. & McLoone, S., Blending local models within a velocity-based multiple model network (2001), IFAC Conference on Emerging Computing Technologies , 2001, (pp117-122)

  149. Rong, Q., Irwin, G. & McLoone, S., Velocity-based local PID controller network (2001), Irish Signals and Systems Conference , 2001, (pp70-77)

  150. McLoone, S., A Memory Optimal Neural Network Training algorithm (2000), 2nd International ICSC symposium on Neural Computation (NC'2000) , 2000

  151. McLoone, S., An efficient learning rate selection strategy for gradient based neural network training algorithms (2000), 2nd International ICSC symposium on Neural Computation (NC'2000) , 2000

  152. McLoone, S., A parallel variable memory BFGS training algorithm (2000), 6th IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC'2000) , 2000

  153. Temple, S., Thompson, S., Li, K., Duan, G. & McLoone, S., Fuzzy logic control of a continuous rotary steriliser in the food industry - a feasibility study (2000), Process Control and Instrumentation 2000 , 2000

  154. McLoone, S., Neural Network Identification: A Survey of Gradient Based Methods (1998), IEE Colloquium , 1998, (pp4/1-4/4)

  155. Swidenbank, E., McLoone, S., Flynn, D., Brown, M., Irwin, G. & Hogg, B., Neural Network based AVR for Synchronous Generators (1997), IEEE PES summer power meeting , 1997

  156. Flynn, D., McLoone, S., Irwin, G., Swidenbank, E. & Hogg, B., Neural Modelling and Control of a Synchronous Generator (1997), 4th IFAC Workshop on Algorithms and Architectures for Real-time Control , 1997, (pp376-381)

  157. McLoone, S. & Irwin, G., Parallel Off-line Training of Multilayer Perceptrons (1995), 3rd IFAC/IFIP Workshop on Algorithms and Architectures for Real-time Control , 1995, (pp3-11)

  158. Irwin, G., Lightbody, G. & McLoone, S., Comparison of Gradient Based Training Algorithms for Multilayer Perceptrons (1994), IEE Colloquium , 1994, (pp11/1-11/6)


People
People