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[HTML][HTML] The role of deep learning in urban water management: A critical review
Deep learning techniques and algorithms are emerging as a disruptive technology with the
potential to transform global economies, environments and societies. They have been …
potential to transform global economies, environments and societies. They have been …
Deep learning methods for flood map**: a review of existing applications and future research directions
Deep Learning techniques have been increasingly used in flood management to overcome
the limitations of accurate, yet slow, numerical models, and to improve the results of …
the limitations of accurate, yet slow, numerical models, and to improve the results of …
[HTML][HTML] Deep reinforcement learning challenges and opportunities for urban water systems
The efficient and sustainable supply and transport of water is a key component to any
functioning civilisation making the role of urban water systems (UWS) inherently crucial to …
functioning civilisation making the role of urban water systems (UWS) inherently crucial to …
[HTML][HTML] Realising smarter stormwater management: A review of the barriers and a roadmap for real world application
Effective management of stormwater systems is necessary for protection of both the built and
natural environments. However, stormwater management is facing multiple, growing …
natural environments. However, stormwater management is facing multiple, growing …
[HTML][HTML] Digital transformation of peatland eco-innovations ('Paludiculture'): Enabling a paradigm shift towards the real-time sustainable production of 'green-friendly' …
The world is heading in the wrong direction on carbon emissions where we are not on track
to limit global warming to 1.5° C; Ireland is among the countries where overall emissions …
to limit global warming to 1.5° C; Ireland is among the countries where overall emissions …
Towards the long term implementation of real time control of combined sewer systems: a review of performance and influencing factors
Abstract Real Time Control (RTC) is widely accepted as a cost-effective way to operate
urban drainage systems (UDS) effectively. However, what factors influence RTC efficacy and …
urban drainage systems (UDS) effectively. However, what factors influence RTC efficacy and …
[HTML][HTML] Coastal urban flood risk management: Challenges and opportunities− A systematic review
Generational mechanisms and spatio-temporal evolution patterns of Coastal urban flood risk
involve complex interactions between climate change, sea level rise and human-induced …
involve complex interactions between climate change, sea level rise and human-induced …
Reinforcement learning in construction engineering and management: A review
The construction engineering and management (CEM) domain frequently meets complex
tasks due to the unavoidable complicated operation environments and the involvement of …
tasks due to the unavoidable complicated operation environments and the involvement of …
Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality
Real-time control of stormwater systems can reduce flooding and improve water quality.
Current industry real-time control strategies use simple rules based on water quantity …
Current industry real-time control strategies use simple rules based on water quantity …
Evaluating real-time control of stormwater drainage network and green stormwater infrastructure for enhancing flooding resilience under future rainfall projections
Traditional stormwater control measures are designed to handle system loadings induced
by fixed-size storm events. However, climate change is predicted to alter the frequency and …
by fixed-size storm events. However, climate change is predicted to alter the frequency and …