| Development and verification of an online artificial intelligence system for detection of bursts and other abnormal flows SR Mounce, JB Boxall, J Machell Journal of Water Resources Planning and Management 136 (3), 309-318, 2010 | 268 | 2010 |
| Novelty detection for time series data analysis in water distribution systems using support vector machines SR Mounce, RB Mounce, JB Boxall Journal of hydroinformatics 13 (4), 672-686, 2011 | 206 | 2011 |
| Burst detection using hydraulic data from water distribution systems with artificial neural networks SR Mounce, J Machell Urban Water Journal 3 (1), 21-31, 2006 | 170 | 2006 |
| Sensor-fusion of hydraulic data for burst detection and location in a treated water distribution system SR Mounce, A Khan, AS Wood, AJ Day, PD Widdop, J Machell Information Fusion 4 (3), 217-229, 2003 | 140 | 2003 |
| A neural network approach to burst detection SR Mounce, AJ Day, AS Wood, A Khan, PD Widdop, J Machell Water science and technology 45 (4-5), 237-246, 2002 | 129 | 2002 |
| Online modelling of water distribution systems: a UK case study J Machell, SR Mounce, JB Boxall Drinking Water Engineering and Science 3 (1), 21-27, 2010 | 106 | 2010 |
| Water loss reduction ZY Wu, M Farley, D Turtle, Z Kapelan, J Boxall, S Mounce, ... Bentley Institute Press, 2011 | 96 | 2011 |
| Field testing of an optimal sensor placement methodology for event detection in an urban water distribution network B Farley, SR Mounce, JB Boxall Urban Water Journal 7 (6), 345-356, 2010 | 94 | 2010 |
| Predicting combined sewer overflows chamber depth using artificial neural networks with rainfall radar data SR Mounce, W Shepherd, G Sailor, J Shucksmith, AJ Saul Water science and technology 69 (6), 1326-1333, 2014 | 80 | 2014 |
| Pattern matching and associative artificial neural networks for water distribution system time series data analysis SR Mounce, RB Mounce, T Jackson, J Austin, JB Boxall Journal of Hydroinformatics 16 (3), 617-632, 2014 | 67 | 2014 |
| Development and field validation of a burst localization methodology B Farley, SR Mounce, JB Boxall Journal of water resources planning and management 139 (6), 604-613, 2013 | 66 | 2013 |
| Ensemble decision tree models using RUSBoost for estimating risk of iron failure in drinking water distribution systems SR Mounce, K Ellis, JM Edwards, VL Speight, N Jakomis, JB Boxall Water Resources Management 31, 1575-1589, 2017 | 62 | 2017 |
| Relating water quality and age in drinking water distribution systems using self-organising maps EJM Blokker, WR Furnass, J Machell, SR Mounce, PG Schaap, JB Boxall Environments 3 (2), 10, 2016 | 53 | 2016 |
| An artificial intelligence approach for optimizing pumping in sewer systems S Ostojin, SR Mounce, JB Boxall Journal of hydroinformatics 13 (3), 295-306, 2011 | 52 | 2011 |
| Cloud based machine learning approaches for leakage assessment and management in smart water networks SR Mounce, C Pedraza, T Jackson, P Linford, JB Boxall Procedia engineering 119, 43-52, 2015 | 50 | 2015 |
| Modelling both the continual erosion and regeneration of discolouration material in drinking water distribution systems WR Furnass, RP Collins, PS Husband, RL Sharpe, SR Mounce, JB Boxall Water Science and Technology: Water Supply 14 (1), 81-90, 2014 | 44 | 2014 |
| Addressing practical problems in sustainability assessment frameworks L Hurley, R Ashley, S Mounce Proceedings of the Institution of Civil Engineers-Engineering Sustainability …, 2008 | 41 | 2008 |
| Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms SR Mounce, W Shepherd, S Ostojin, M Abdel-Aal, ANA Schellart, ... Journal of Hydroinformatics 22 (2), 281-295, 2020 | 37 | 2020 |
| An artificial neural network/fuzzy logic system for DMA flow meter data analysis providing burst identification and size estimation SR Mounce, JB Boxall, J Machell Water management challenges in global change, 313-320, 2007 | 37 | 2007 |
| Identifying sampling interval for event detection in water distribution networks SR Mounce, RB Mounce, JB Boxall Journal of Water Resources Planning and Management 138 (2), 187-191, 2012 | 35 | 2012 |
