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Prof. Sean McLoone
Director of Energy, Power and Intelligent Control research cluster
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E-mail: s dot mcloone at qub dot ac dot uk
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Recent Publications (2019 onwards)


Journal Paper

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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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)

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