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    Article

    SedimentNet — a 1D-CNN machine learning model for prediction of hydrodynamic forces in rapidly varied flows

    In natural free surface flows, sediment particles in the surface layer of a sediment bed are moved and entrained by the fluctuating hydrodynamic forces, such as lift and drag, exerted by the overlying flow. Ac...

    Muhammad Zain Bin Riaz, Umair Iqbal, Shu-Qing Yang… in Neural Computing and Applications (2023)

  2. Article

    Open Access

    Prediction of hydraulic blockage at culverts from a single image using deep learning

    Cross-drainage hydraulic structures such as culverts and bridges in urban landscapes are prone to get blocked by the transported debris (e.g., urban, vegetated), which often reduces their hydraulic capacity an...

    Umair Iqbal, Johan Barthelemy, Pascal Perez in Neural Computing and Applications (2022)

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    Reference Work Entry In depth

    Problem-Driven and Technology-Enabled Solutions for Safer Communities

    Stormwater management is a key responsibility for local governments and a major challenge to consider in planning for urban growth. The Smart Stormwater Management project uses Internet of Things, artificial i...

    Johan Barthelemy, Mehrdad Amirghasemi, Bilal Arshad, Cormac Fay… in Handbook of Smart Cities (2021)

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    Living Reference Work Entry In depth

    Problem-Driven and Technology-Enabled Solutions for Safer Communities

    Stormwater management is a key responsibility for local governments and a major challenge to consider in planning for urban growth. The Smart Stormwater Management project uses Internet of Things, artificial i...

    Johan Barthelemy, Mehrdad Amirghasemi, Bilal Arshad, Cormac Fay… in Handbook of Smart Cities