2022

• Mohammed, Hadi; Tornyeviadzi, Hoese Michel; Seidu, Razak. (2022) Emulating process-based water quality modelling in water source reservoirs using machine learning. Journal of Hydrology. volum 609.
  Vitenskapelig artikkel
• Nguyen, Minh Ky; Mohammed, Hadi; Lin, Chitsan; Nguyen, Hoang-Lam; Thai, Vu-Binh; Hoang, Hong-Giang; Vo, Dai-Viet N.; Tran, Huu-Tuan. (2022) Microplastics in sewage sludge: Distribution, toxicity, identification methods, and engineered technologies. Chemosphere. volum 308 (3).
  Vitenskapelig artikkel
• Tornyeviadzi, Hoese Michel; Mohammed, Hadi; Seidu, Razak. (2022) Dynamic segment criticality analysis: A precursor to scheduling of maintenance routines in water distribution networks. Alexandria Engineering Journal. volum 61 (12).
  Vitenskapelig artikkel

2021

• Mohammed, Hadi; Tornyeviadzi, Hoese Michel; Seidu, Razak. (2021) Modelling the impact of water temperature, pipe, and hydraulic conditions on water quality in water distribution networks. Water practice and technology. volum 16 (2).
  Vitenskapelig artikkel
• Mohammed, Hadi; Tornyeviadzi, Hoese Michel; Seidu, Razak. (2021) Modelling the impact of weather parameters on the microbial quality of water in distribution systems. Journal of Environmental Management. volum 284.
  Vitenskapelig artikkel
• Tornyeviadzi, Hoese Michel; Neba, Fabrice Abunde; Mohammed, Hadi; Seidu, Razak. (2021) Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach. International Journal of Critical Infrastructure Protection. volum 34.
  Vitenskapelig artikkel
• Tornyeviadzi, Hoese Michel; Owusu, Emmanuel; Mohammed, Hadi; Seidu, Razak. (2021) A Systematic Framework for Dynamic Nodal Vulnerability Assessment of Water Distribution Networks based on Multilayer Networks. Reliability Engineering & System Safety. volum 219.
  Vitenskapelig artikkel

2019

• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2019) Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine. Advances in Intelligent Systems and Computing. volum 845.
  Vitenskapelig artikkel
• Mohammed, Hadi; Longva, Andreas; Seidu, Razak. (2019) Impact of Climate Forecasts on the Microbial Quality of a Drinking Water Source in Norway Using Hydrodynamic Modeling. Water. volum 11 (3).
  Vitenskapelig artikkel
• Mohammed, Hadi; Longva, Andreas; Seidu, Razak. (2019) Impact of local climate change on the Ålesund water supply system accounting for the raw water source and treatment processes. 2019.
  Rapport
• Mohammed, Hadi; Seidu, Razak. (2019) Climate-driven QMRA model for selected water supply systems in Norway accounting for raw water sources and treatment processes. Science of the Total Environment. volum 660.
  Vitenskapelig artikkel
• Mohammed, Hadi; Tveten, Ann-Kristin; Seidu, Razak. (2019) 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. volum 573.
  Vitenskapelig artikkel
• Wu, Di; Wang, Hao; Mohammed, Hadi; Seidu, Razak. (2019) Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception. IEEE Transactions on Sustainable Computing.
  Vitenskapelig artikkel

2018

• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2018) Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway. Science of the Total Environment. volum 628-629.
  Vitenskapelig artikkel
• Mohammed, Hadi; Longva, Andreas; Seidu, Razak. (2018) Predictive analysis of microbial water quality using machine-learning algorithms. Aplinkos tyrimai, inzinerija ir vadyba. volum 74 (1).
  Vitenskapelig artikkel

2017

• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2017) Adaptive neuro-fuzzy inference system for predicting norovirus in drinking water supply. 2017 International Conference on Informatics, Health & Technology (ICIHT).
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (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. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXV.
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2017) Random forest tree for predicting fecal indicator organisms in drinking water supply. 2017 International Conference on Behavioral, Economic Advance in Behavioral, Economic, Sociocultural Computing (BESC).
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel