Razak Seidu

According to our database1, Razak Seidu authored at least 13 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception.
IEEE Trans. Sustain. Comput., 2020

Smart data driven quality prediction for urban water source management.
Future Gener. Comput. Syst., 2020

Can the operating limits of biogas plants operated under non-isothermal conditions be defined with certainty? Modeling self-optimizing attainable regions.
Comput. Chem. Eng., 2020

Geometry, kinetics and reactor network synthesis: Attainable limits for minimizing residence time in biomethane digesters.
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.
Comput. Chem. Eng., 2020

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.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Collaborative Analysis for Computational Risk in Urban Water Supply Systems.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Smart Data Analysis for Water Quality in Catchment Area Monitoring.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Machine learning: based detection of water contamination in water distribution systems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply.
Trans. Large Scale Data Knowl. Centered Syst., 2017

Random forest tree for predicting fecal indicator organisms in drinking water supply.
Proceedings of the 2017 International Conference on Behavioral, 2017