Items where authors include "Kyritsakas, G."

Article

Kyritsakas, G. orcid.org/0000-0003-0945-3754, Boxall, J. orcid.org/0000-0002-4681-6895 and Speight, V. orcid.org/0000-0001-7780-7863 (2024) A data‐driven predictive model for disinfectant residual in drinking water storage tanks. AWWA Water Science, 6 (3). e1376. ISSN 2577-8161

Kyritsakas, G., Boxall, J. orcid.org/0000-0002-4681-6895 and Speight, V. (2023) Forecasting bacteriological presence in treated drinking water using machine learning. Frontiers in Water, 5. 1199632. ISSN 2624-9375

Kyritsakas, G. orcid.org/0000-0003-0945-3754, Boxall, J.B. orcid.org/0000-0002-4681-6895 and Speight, V.L. orcid.org/0000-0001-7780-7863 (2023) A Big Data framework for actionable information to manage drinking water quality. AQUA — Water Infrastructure, Ecosystems and Society, 72 (5). pp. 701-720. ISSN 2709-8028

Boxall, J. orcid.org/0000-0002-4681-6895, Speight, V., Kyritsakas, G. et al. (6 more authors) (2022) The application of artificial intelligence techniques to better manage iron in drinking water distribution systems. Institute of Water Journal (7). pp. 28-34.

Proceedings Paper

Kyritsakas, G. orcid.org/0000-0003-0945-3754, Husband, S. orcid.org/0000-0002-2771-1166, Gleeson, K. et al. (2 more authors) (2024) A data-driven analysis for understanding and risk estimation of discolouration in drinking water distribution systems. In: Alvisi, S., Franchini, F. and Marsili, V., (eds.) Engineering proceedings. International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), 01-04 Jul 2024, Ferrara, Italy. MDPI .

Kazemi, E., Kyritsakas, G., Husband, S. orcid.org/0000-0002-2771-1166 et al. (3 more authors) (2023) Predicting iron exceedance risk in drinking water distribution systems using machine learning. In: IOP Conference Series: Earth and Environmental Science. 14th International Conference on Hydroinformatics, 04-08 Jul 2022, Bucharest, Romania. IOP Publishing , 012047.

Kyritsakas, G., Speight, V. and Boxall, J. orcid.org/0000-0002-4681-6895 (2023) A data-driven model for the prediction of chlorine losses in water distribution trunk mains. In: IOP Conference Series: Earth and Environmental Science. 14th International Conference on Hydroinformatics, 04-08 Jul 2022, Bucharest, Romania. IOP Publishing , 012048.