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2021
1 Mohammed, Hadi; Michel, Tornyeviadzi; Seidu, Razak.
Modelling the impact of water temperature, pipe, and hydraulic conditions on water quality in water distribution networks. Water practice and technology 2021
NTNU Untitled
 
2 Mohammed, Hadi; Tornyeviadzi, Hoese Michel; Seidu, Razak.
Modelling the impact of water temperature, pipe, and hydraulic conditions on water quality in water distribution networks. Water practice and technology 2021
NTNU Untitled
 
3 Mohammed, Hadi; Tornyeviadzi, Hoese Michel; Seidu, Razak.
Modelling the impact of weather parameters on the microbial quality of water in distribution systems. Journal of Environmental Management 2021 ;Volum 284.
NTNU Untitled
 
2019
4 Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak.
Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine. Advances in Intelligent Systems and Computing 2019 ;Volum 845. s. 567-576
NTNU Untitled
 
5 Mohammed, Hadi; Longva, Andreas; Seidu, Razak.
Impact of Climate Forecasts on the Microbial Quality of a Drinking Water Source in Norway Using Hydrodynamic Modeling. Water 2019 ;Volum 11.(3) s. -
NTNU Untitled
 
6 Mohammed, Hadi; Longva, Andreas; Seidu, Razak.
Impact of local climate change on the Ålesund water supply system accounting for the raw water source and treatment processes. : NTNU 2019 40 s.
NTNU Untitled
 
7 Mohammed, Hadi; Seidu, Razak.
Climate-driven QMRA model for selected water supply systems in Norway accounting for raw water sources and treatment processes. Science of the Total Environment 2019 ;Volum 660. s. 306-320
NTNU Untitled
 
8 Mohammed, Hadi; Tveten, Ann-Kristin; Seidu, Razak.
Modelling the impact of climate change on flow and E. coli concentration in the catchment of an ungauged drinking water source in Norway. Journal of Hydrology 2019 ;Volum 573. s. 676-687
NTNU Untitled
 
9 Wu, Di; Wang, Hao; Mohammed, Hadi; Seidu, Razak.
Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception.. IEEE Transactions on Sustainable Computing 2019
NTNU Untitled
 
2018
10 Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak.
An efficient data-driven water control model based on extreme machine learning. The 11th Nordic Drinking Water Conference; 2018-06-11 - 2018-06-13
NTNU Untitled
 
11 Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak.
Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway. Science of the Total Environment 2018 ;Volum 628-629. s. 1178-1190
NTNU Untitled
 
12 Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak.
Machine learning – based detection of water contamination in water distribution systems. Genetic and Evolutionary Computation Conference; 2018-07-15 - 2018-07-17
NTNU Untitled
 
13 Mohammed, Hadi; Longva, Andreas; Seidu, Razak.
Predictive analysis of microbial water quality using machine-learning algorithms. Aplinkos tyrimai, inzinerija ir vadyba 2018 ;Volum 74.(1) s. 7-20
NTNU Untitled
 
14 Mohammed, Hadi; Longva, Andreas; Skulstad, Bjørn; Seidu, Razak.
Climate driven integrated hydrodynamic-QMRA model for predicting infection risks-Ålesund Water Supply as a case study. The 11th Nordic Drinking Water Conference; 2018-06-11 - 2018-06-13
NTNU Untitled
 
2017
15 Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak.
Adaptive neuro-fuzzy inference system for predicting norovirus in drinking water supply. I: 2017 International Conference on Informatics, Health & Technology (ICIHT). IEEE Press 2017 ISBN 978-1-4673-8765-1. s. -
NTNU Untitled
 
16 Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak.
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. I: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV. Springer 2017 ISBN 978-3-662-56121-8. s. 74-95
NTNU Untitled
 
17 Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak.
Random forest tree for predicting fecal indicator organisms in drinking water supply. I: 2017 International Conference on Behavioral, Economic Advance in Behavioral, Economic, Sociocultural Computing (BESC). IEEE Press 2017 ISBN 978-1-5386-2365-7. s. -
NTNU Untitled