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Disambiguation of "Seidu, Razak"

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Smart Data Analysis for Water Quality in Catchment Area Monitoring.

, , , and . iThings/GreenCom/CPSCom/SmartData, page 900-908. IEEE, (2018)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sébastien Razakarivony

Salifu Seidu-Larry

Abdul Razak Mutlak

Abdul-Razak Weiss

Abdul-Razak Bissar

 

Other publications of authors with the same name

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)Smart Data Analysis for Water Quality in Catchment Area Monitoring., , , and . iThings/GreenCom/CPSCom/SmartData, page 900-908. IEEE, (2018)Machine learning: based detection of water contamination in water distribution systems., , and . GECCO (Companion), page 1664-1671. ACM, (2018)A Case-Based Reasoning Solution for Urban Drinking Water Quality Control., , , and . HPCC/DSS/SmartCity/DependSys, page 2454-2459. IEEE, (2021)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)A systematic framework for dynamic nodal vulnerability assessment of water distribution networks based on multilayer networks., , , and . Reliab. Eng. Syst. Saf., (2022)Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach., , , and . Int. J. Crit. Infrastructure Prot., (2021)Toward A Sustainable Cyber-Physical System Architecture for Urban Water Supply System**This work was supported by KLIMAFORSK programme(No. 244147/E10) from Research Council of Norway., , and . iThings/GreenCom/CPSCom/SmartData/Cybermatics, page 482-489. IEEE, (2020)Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine., , and . AISI, volume 845 of Advances in Intelligent Systems and Computing, page 567-576. Springer, (2018)