Items where authors include "Mounce, S.R."

Article

Mounce, S.R., Shepherd, W.J. orcid.org/0000-0003-4434-9442, Boxall, J.B. orcid.org/0000-0002-4681-6895 et al. (2 more authors) (2021) Autonomous robotics for water and sewer networks. HydroLink, 2021 (2). pp. 55-62. ISSN 1388-3445

Furnass, W.R., Mounce, S.R. orcid.org/0000-0003-0742-0908, Husband, S. et al. (2 more authors) (2019) Calibrating and validating a combined accumulation and mobilisation model for water distribution system discolouration using particle swarm optimisation. Smart Water, 4. 3. ISSN 2198-2619

Speight, V. orcid.org/0000-0001-7780-7863, Mounce, S.R. and Boxall, J.B. (2019) Identification of the causes of drinking water discolouration from machine learning analysis of historical datasets. Environmental Science: Water Research & Technology, 5 (4). pp. 747-755. ISSN 2053-1419

Mounce, S.R. orcid.org/0000-0003-0742-0908, Ellis, K., Edwards, J.M. et al. (3 more authors) (2017) Ensemble decision tree models using RUSBoost for estimating risk of iron failure in drinking water distribution systems. Water Resources Management, 31 (5). pp. 1575-1589. ISSN 0920-4741

Blokker, E.J.M., Furnass, W.R. orcid.org/0000-0001-5931-7430, Machell, J. orcid.org/0000-0001-5520-1473 et al. (3 more authors) (2016) Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps. Environments, 3 (2). 10. ISSN 2076-3298

Mounce, S.R., Blokker, E.J.M., Husband, P.S. et al. (3 more authors) (2016) Multivariate data mining for estimating the rate of discolouration material accumulation in drinking water distribution systems. Journal of Hydroinformatics, 1 (18). pp. 96-114. ISSN 1464-7141

Mounce, S.R., mounce, R.B. and Boxall, J.B. (2015) Case-based reasoning to support decision making for managing drinking water quality events in distribution systems. Urban Water Journal. Published online 21 May 2015. ISSN 1744-9006

Mounce, S.R. and Boxall, J.B. (2015) Automated Data-Driven Approaches to Evaluating and Interpreting Water Quality Time Series Data from Water Distribution Systems Read More: http://ascelibrary.org/doi/abs/10.1061/(ASCE)WR.1943-5452.0000533. Journal of Water Resources Planning and Management . ISSN 0733-9496

Machell, J., Mounce, S.R., Farley, B. et al. (1 more author) (2014) Online data processing for proactive UK water distribution network operation. Drinking Water Engineering and Science, 7 (1). 23 - 33. ISSN 1996-9457

Furnass, W.R., Collins, R.P., Husband, P.S. et al. (3 more authors) (2014) Modelling both the continual erosion and regeneration of discolouration material in drinking water distribution systems. Water Science and Technology: Water Supply, 14 (1). pp. 81-90. ISSN 1606-9749

Mounce, S.R., Shepherd, W., Sailor, G. et al. (2 more authors) (2014) Predicting combined sewer overflows chamber depth using artificial neural networks with rainfall radar data. Water Science and Technology, 69 (6). 1326 - 1333. ISSN 0273-1223

Mounce, S.R., Mounce, R.B., Jackson, T. et al. (2 more authors) (2014) Pattern matching and associative artificial neural networks for water distribution system time series data analysis. Journal of Hydroinformatics, 16 (3). 617 - 632. ISSN 1464-7141

Furnass, W.R., Mounce, S.R. and Boxall, J.B. (2013) Linking distribution system water quality issues to possible causes via hydraulic pathways. Environmental Modelling and Software, 40. 78 - 87. ISSN 1364-8152

Mounce, S.R., Machel, J.M. and Boxall, J.B. (2012) Water quality event detection and customer complaint clustering analysis in distribution systems. Water Science and Technology: Water Supply, 12 (5). 580 - 587. ISSN 1606-9749

Mounce, S.R., Mounce, R.B. and Boxall, J.B. (2011) Identifying Sampling Interval for Event Detection in Water Distribution Networks. Journal of Water Resources Planning and Management, 138 (2). 187 - 191. ISSN 0733-9496

Machell, J., Mounce, S.R. and Boxall, J.B. (2010) Online modelling of water distribution systems: a UK case study. Drinking Water Engineering and Science, 3. 21 - 27. ISSN 1996-9457

Conference or Workshop Item

Mounce, S.R. (2013) A comparative study of artificial neural network architectures for time series prediction of water distribution system flow data. In: AISB2013 Symposium: Machine Learning in Water Systems, April 2nd-5th 2013, University of Exeter, UK.

Proceedings Paper

Kazemi, E., Mounce, S.R. orcid.org/0000-0003-0742-0908, Husband, P.S. orcid.org/0000-0002-2771-1166 et al. (1 more author) (2018) Predicting turbidity in water distribution trunk mains using nonlinear autoregressive exogenous artificial neural networks. In: La Loggia, G., Freni, G., Puleo, V. and De Marchis, M., (eds.) HIC 2018. 13th International Conference on Hydroinformatics. 13th International Conference on Hydroinformatics, 01-06 Jul 2018, Palermo, Italy. EPiC Series in Engineering, 3 . EPiC , pp. 1030-1039.

Boatright, S., Romano, M., Mounce, S.R. orcid.org/0000-0003-0742-0908 et al. (2 more authors) (2018) Optimal sensor placement and leak/burst localisation in a water distribution system using spatially–constrained inverse-distance weighted interpolation. In: 13th International Conference on Hydroinformatics. 13th International Conference on Hydroinformatics, 01-06 Jul 2018, Palermo, Italy. EPiC .

Mounce, S.R., Mounce, R.B. and Boxall, J. (2015) Case-Based Reasoning Approach For Managing Water Quality Incidents In Distribution Systems. In: Proceedings of;. 11th International Conference on Hydroinformatics, 17-21 Aug 2014, New York City, USA. . ISBN 978-0-692-28129-1

Mounce, S.R., Sharpe, R., Speight, V. et al. (2 more authors) (2015) Self-Organizing Maps For Knowledge Discovery From Corporate Databases To Develop Risk Based Prioritization For Stagnation . In: Proceedings of. 11th International Conference on Hydroinformatics, 17-21 Aug 2014, New York City, USA. . ISBN 978-0-692-28129-1

Mounce, S.R., Pedraza, C., Jackson, T. et al. (2 more authors) (2015) Cloud based machine learning approaches for leakage assessment and management in smart water networks. In: Procedia Engineering. UNSPECIFIED, 02-04 Sep 2015, De Montfort University, Leicester, UK. Elsevier , pp. 43-52. ISBN 1877-7058

Ellis, K., Mounce, S.R., Ryan, B. et al. (2 more authors) (2015) Improving root cause analysis of bacteriological water quality failures at water treatment works. In: Procedia Engineering. 13 th International Conference on Computing a nd Control for the Water Industry, CCWI2015 , 02-04 Sep 2015, De Montfort University, Leicester, UK. Elsevier , pp. 309-318. ISBN 1877-7058

Ellis, K., Mounce, S.R., Edwards, J. et al. (3 more authors) (2015) Interpreting and estimating the risk of iron failures. In: Procedia Engineering. Computing and Control for the Water Industry (CCWI2015) Sharing the best practice in water management. , pp. 299-308.