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Razak Seidu
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2020 – today
- 2023
- [j11]Hoese Michel Tornyeviadzi, Hadi Mohammed, Razak Seidu:
Robust night flow analysis in water distribution networks: A BiLSTM deep autoencoder approach. Adv. Eng. Informatics 58: 102135 (2023) - [j10]Hoese Michel Tornyeviadzi, Razak Seidu:
Leakage detection in water distribution networks via 1D CNN deep autoencoder for multivariate SCADA data. Eng. Appl. Artif. Intell. 122: 106062 (2023) - 2022
- [j9]Lam Van Nguyen, Dieu Tien Bui, Razak Seidu:
Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network. IEEE Access 10: 124238-124258 (2022) - [j8]Hoese Michel Tornyeviadzi, Emmanuel Owusu-Ansah, Hadi Mohammed, Razak Seidu:
A systematic framework for dynamic nodal vulnerability assessment of water distribution networks based on multilayer networks. Reliab. Eng. Syst. Saf. 219: 108217 (2022) - 2021
- [j7]Hoese Michel Tornyeviadzi, Fabrice Abunde Neba, Hadi Mohammed, Razak Seidu:
Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach. Int. J. Crit. Infrastructure Prot. 34: 100434 (2021) - [c8]Di Wu, Razak Seidu, Hao Wang, Xiaojuan Ban:
A Case-Based Reasoning Solution for Urban Drinking Water Quality Control. HPCC/DSS/SmartCity/DependSys 2021: 2454-2459 - 2020
- [j6]Fabrice Abunde Neba, Nana Y. Asiedu, Ahmad Addo, John Morken, Stein W. Østerhus, Razak Seidu:
Biodigester rapid analysis and design system (B-RADeS): A candidate attainable region-based simulator for the synthesis of biogas reactor structures. Comput. Chem. Eng. 132 (2020) - [j5]Fabrice Abunde Neba, Hoese Michel Tornyeviadzi, Ahmad Addo, Nana Y. Asiedu, John Morken, Stein W. Østerhus, Razak Seidu:
Geometry, kinetics and reactor network synthesis: Attainable limits for minimizing residence time in biomethane digesters. Comput. Chem. Eng. 136: 106816 (2020) - [j4]Fabrice Abunde Neba, Hoese Michel Tornyeviadzi, Nana Y. Asiedu, Ahmad Addo, John Morken, Stein W. Østerhus, Razak Seidu:
Can the operating limits of biogas plants operated under non-isothermal conditions be defined with certainty? Modeling self-optimizing attainable regions. Comput. Chem. Eng. 141: 107001 (2020) - [j3]Di Wu, Hao Wang, Razak Seidu:
Smart data driven quality prediction for urban water source management. Future Gener. Comput. Syst. 107: 418-432 (2020) - [j2]Di Wu, Hao Wang, Hadi Mohammed, Razak Seidu:
Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception. IEEE Trans. Sustain. Comput. 5(3): 377-388 (2020) - [c7]Di Wu, Hao Wang, Razak Seidu:
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. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 482-489
2010 – 2019
- 2019
- [c6]Di Wu, Hao Wang, Razak Seidu:
Collaborative Analysis for Computational Risk in Urban Water Supply Systems. CIKM 2019: 2297-2300 - [c5]Di Wu, Hao Wang, Razak Seidu:
A Tensor Model for Quality Analysis in Industrial Drinking Water Supply System. DASC/PiCom/DataCom/CyberSciTech 2019: 1090-1092 - 2018
- [c4]Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu:
Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine. AISI 2018: 567-576 - [c3]Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu:
Machine learning: based detection of water contamination in water distribution systems. GECCO (Companion) 2018: 1664-1671 - [c2]Di Wu, Hadi Mohammed, Hao Wang, Razak Seidu:
Smart Data Analysis for Water Quality in Catchment Area Monitoring. iThings/GreenCom/CPSCom/SmartData 2018: 900-908 - 2017
- [j1]Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu:
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. 35: 74-95 (2017) - [c1]Hadi Mohammed, Ibrahim A. Hameed, Razak Seidu:
Random forest tree for predicting fecal indicator organisms in drinking water supply. BESC 2017: 1-6
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