Browse by UCL people
Group by: Type | Date
Number of items: 7.
Article
McMillan, L;
Varga, L;
(2022)
A review of the use of artificial intelligence methods in infrastructure systems.
Engineering Applications of Artificial Intelligence
, 116
, Article 105472. 10.1016/j.engappai.2022.105472.
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McMillan, Lauren;
Fayaz, Jawad;
Varga, Liz;
(2023)
Leakage Detection Framework using Domain-Informed Neural Networks and Support Vector Machines to Augment Self-Healing in Water Distribution Networks.
Water Research
, Article 120983. 10.1016/j.watres.2023.120983.
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McMillan, Lauren;
Fayaz, Jawad;
Varga, Liz;
(2023)
Flow Forecasting for Leakage Burst Prediction in Water Distribution Systems using Long Short-Term Memory Neural Networks and Kalman Filtering.
Sustainable Cities and Society
, 99
, Article 104934. 10.1016/j.scs.2023.104934.
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McMillan, Lauren;
Varga, Liz;
(2022)
Towards self-healing in water infrastructure systems.
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
10.1680/jsmic.22.00006.
(In press).
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Varga, Liz;
McMillan, Lauren;
Hallett, Stephen;
Russell, Tom;
Smith, Luke;
Truckell, Ian;
Postnikov, Andrey;
... Lomax, Nik; + view all
(2023)
Infrastructure and city ontologies.
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
, 176
(2)
pp. 43-52.
10.1680/jsmic.22.00005.
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Proceedings paper
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McMillan, Lauren;
Fayaz, Jawad;
Varga, Liz;
(2023)
Machine-Learning-Based Health Monitoring and Leakage Management of Water Distribution Systems.
In:
Proceedings of the 3rd International Conference on Evolving Cities.
(pp. pp. 43-50).
Evolving Cities Publications
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Thesis
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McMillan, Lauren;
(2024)
Artificial Intelligence–enabled self-healing infrastructure systems.
Doctoral thesis (Ph.D), UCL (University College London).
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