Razak Seidu

According to our database, Razak Seidu authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Robust night flow analysis in water distribution networks: A BiLSTM deep autoencoder approach.

Hoese Michel Tornyeviadzi, Hadi Mohammed, Razak Seidu

Adv. Eng. Informatics, October, 2023

Leakage detection in water distribution networks via 1D CNN deep autoencoder for multivariate SCADA data.

Hoese Michel Tornyeviadzi, Razak Seidu

Eng. Appl. Artif. Intell., 2023

2022

A systematic framework for dynamic nodal vulnerability assessment of water distribution networks based on multilayer networks.

Hoese Michel Tornyeviadzi, Emmanuel Owusu-Ansah, Hadi Mohammed, Razak Seidu

Reliab. Eng. Syst. Saf., 2022

Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network.

Lam Van Nguyen, Dieu Tien Bui, Razak Seidu

IEEE Access, 2022

2021

Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach.

Hoese Michel Tornyeviadzi, Fabrice Abunde Neba, Hadi Mohammed, Razak Seidu

Int. J. Crit. Infrastructure Prot., 2021

A Case-Based Reasoning Solution for Urban Drinking Water Quality Control.

Di Wu, Razak Seidu, Hao Wang, Xiaojuan Ban

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception.

Di Wu, Hao Wang, Hadi Mohammed, Razak Seidu

IEEE Trans. Sustain. Comput., 2020

Smart data driven quality prediction for urban water source management.

Di Wu, Hao Wang, Razak Seidu

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.

Fabrice Abunde Neba, Hoese Michel Tornyeviadzi, Nana Y. Asiedu, Ahmad Addo, John Morken, Stein W. Østerhus, Razak Seidu

Comput. Chem. Eng., 2020

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

Fabrice Abunde Neba, Hoese Michel Tornyeviadzi, Ahmad Addo, Nana Y. Asiedu, John Morken, Stein W. Østerhus, Razak Seidu

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.

Fabrice Abunde Neba, Nana Y. Asiedu, Ahmad Addo, John Morken, Stein W. Østerhus, Razak Seidu

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.

Di Wu, Hao Wang, Razak Seidu

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

2019

A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System.

Di Wu, Hao Wang, Razak Seidu

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

Collaborative Analysis for Computational Risk in Urban Water Supply Systems.

Di Wu, Hao Wang, Razak Seidu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Smart Data Analysis for Water Quality in Catchment Area Monitoring.

Di Wu, Hadi Mohammed, Hao Wang, Razak Seidu

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.

Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu

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.

Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

2017

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.

Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu

Trans. Large Scale Data Knowl. Centered Syst., 2017

Random forest tree for predicting fecal indicator organisms in drinking water supply.

Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu

Proceedings of the 2017 International Conference on Behavioral, 2017