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2020 – today
- 2023
[j5]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)- 2022
- [j4]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
- [j3]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) - 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)
2010 – 2019
- 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
Coauthor Index
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