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Collaborative Analysis for Computational Risk in Urban Water Supply Systems.

, , and . CIKM, page 2297-2300. ACM, (2019)

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Smart Data Analysis for Water Quality in Catchment Area Monitoring., , , and . iThings/GreenCom/CPSCom/SmartData, page 900-908. IEEE, (2018)Geometry, kinetics and reactor network synthesis: Attainable limits for minimizing residence time in biomethane digesters., , , , , , and . Comput. Chem. Eng., (2020)Machine learning: based detection of water contamination in water distribution systems., , and . GECCO (Companion), page 1664-1671. ACM, (2018)Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception., , , and . IEEE Trans. Sustain. Comput., 5 (3): 377-388 (2020)Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network., , and . IEEE Access, (2022)Can the operating limits of biogas plants operated under non-isothermal conditions be defined with certainty? Modeling self-optimizing attainable regions., , , , , , and . Comput. Chem. Eng., (2020)Biodigester rapid analysis and design system (B-RADeS): A candidate attainable region-based simulator for the synthesis of biogas reactor structures., , , , , and . Comput. Chem. Eng., (2020)A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System., , and . DASC/PiCom/DataCom/CyberSciTech, page 1090-1092. IEEE, (2019)Collaborative Analysis for Computational Risk in Urban Water Supply Systems., , and . CIKM, page 2297-2300. ACM, (2019)Smart data driven quality prediction for urban water source management., , and . Future Gener. Comput. Syst., (2020)