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Entropy maximizing evolutionary design optimization of water distribution networks under multiple operating conditions.

• Authors : Tanyimboh, Tiku T.^1,2 (AUTHOR) ; Czajkowska, Anna M.^2,3 (AUTHOR)

Subjects: *Water distribution; Entropy; Construction costsUnited KingdomUniversity of Liverpool

• Source: Environment Systems & Decisions. Jun2021, Vol. 41 Issue 2, p267-285. 19p.

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Birmingham City University Researcher Focuses on Sensor Research (Real-Time Pipeline Fault Detection in Water Distribution Networks Using You Only Look Once v8).

• Source: Journal of Technology. 2024, pages. 136

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Leveraging Transfer Learning in LSTM Neural Networks for Data-Efficient Burst Detection in Water Distribution Systems.

• Authors : Glynis, Konstantinos; Kapelan, Zoran; Bakker, Martijn

Subjects: WATER distribution; HYDRANTS; PIPELINE inspectionUNITED Kingdom

• Source: Water Resources Management; Dec2023, Vol. 37 Issue 15, p5953-5972, 20p

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Efficient multi-objective optimal design of water distribution networks on a budget of simulations using hybrid algorithms

• Authors : di Pierro, Francesco¹ ; Khu, Soon-Thiam¹; Savić, Dragan¹

Subjects: *Water distribution; *Energy conservation; *Hydraulic engineeringSouthern Italy; United Kingdom

• Source: Environmental Modelling & Software. Feb2009, Vol. 24 Issue 2, p202-213. 12p.

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Field Studies of Discoloration in Water Distribution Systems: Model Verification and Practical Implications.

• Authors : Husband, S.¹ ; Boxall, J. B.²

Subjects: *WATER utilities; WATER distribution; WATER-supply engineeringUNITED Kingdom

• Source: Journal of Environmental Engineering. Jan2010, Vol. 136 Issue 1, p86-94. 9p. 1 Black and White Photograph, 1 Chart, 10 Graphs, 1 Map.

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Identifying Material Accumulation Processes in Drinking Water Distribution Systems with Extended Period EPANET MSX Turbidity Simulations.

• Authors : Husband, S.; Jackson, M.; Boxall, J.

Subjects: WATER distribution; WATER quality; HYDRAULICSUNITED Kingdom

• Source: Procedia Engineering; 2015, Vol. 119, p398-406, 9p

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Real-time Burst Detection in Water Distribution Systems Using a Bayesian Demand Forecasting Methodology.

• Authors : Hutton, Christopher; Kapelan, Zoran

Subjects: WATER distribution; BAYESIAN analysis; WATER demand managementUNITED Kingdom

• Source: Procedia Engineering; 2015, Vol. 119, p13-18, 6p

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Optimal design-for-control of self-cleaning water distribution networks using a convex multi-start algorithm.

• Authors : Jenks, Bradley¹ (AUTHOR) ; Pecci, Filippo¹ (AUTHOR); Stoianov, Ivan¹ (AUTHOR)

Subjects: *WATER distribution; *NONLINEAR programming; *ALGORITHMSUNITED Kingdom

• Source: Water Research. Mar2023, Vol. 231, pN.PAG-N.PAG. 1p.

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Water--energy nexus for water distribution systems: a literature review.

• Authors : Sharif, Muhammad Nadeem; Haider, Husnain; Farahat, Ashraf

• Source: Environmental Reviews. December, 2019, Vol. 27 Issue 4, p519, 26 p.

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Researchers at Birmingham City University Zero in on Blockchain Technology (WDSchain: A Toolbox for Enhancing the Security Using Blockchain Technology in Water Distribution System).

• Source: Information Technology Newsweekly. 2021, pages. 609

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