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Mahmood Mahmoodian

Delft University of Technology

7

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26

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Potential Use of Deep Learning Techniques in Data-driven Surrogate Modelling of Urban Drainage Simulators

2019
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A data-driven surrogate modelling approach for acceleration of short-term simulations of a dynamic urban drainage simulator

2018 Water
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A Hybrid Surrogate Modelling Strategy for Simplification of Detailed Urban Drainage Simulators

2018 Water Resources Management
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Pollution-based Model Predictive Control Of Combined Sewer Networks, Considering Uncertainty Propagation

2017 International Journal of Sustainable Development and Planning
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Surrogate modelling for simplification of a complex urban drainage model.

2017
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Citations (1)