Cristin-person-ID: 654003
Person

Duo Zhang

  • Stilling:
    Gjest
    ved Seksjon for bygg og miljøteknikk ved Norges miljø- og biovitenskapelige universitet

Resultater Resultater

Hydraulic modeling and deep learning based flow forecasting for optimizing inter catchment wastewater transfer.

Zhang, Duo; Hølland, Erlend Skullestad; Lindholm, Geir; Ratnaweera, Harsha. 2018, Journal of Hydrology. ROSIM, NMBUVitenskapelig artikkel

DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning.

Ratnaweera, Harsha; Zhang, Duo; Lindholm, Geir. 2018, arXiv.org. ROSIM, NMBUVitenskapelig artikkel

Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model.

Ratnaweera, Harsha; Zhang, Duo; Skullestad Hølland, Erland; Lindholm, Geir. 2018, arXiv.org. ROSIM, NMBUVitenskapelig artikkel

Exploiting Capacity of Sewer System Using Unsupervised Learning Algorithms Combined with Dimensionality Reduction.

Ratnaweera, Harsha; Zhang, Duo; Lindholm, Geir; Martinez Almario, Nicolas. 2018, arXiv.org. ROSIM, NMBUVitenskapelig artikkel

Manage Sewer In-Line Storage Control Using Hydraulic Model and Recurrent Neural Network.

Zhang, Duo; Martinez, Nicolas; Lindholm, Geir; Ratnaweera, Harsha. 2018, Water resources management. ROSIM, NMBUVitenskapelig artikkel
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