| Microplastics in sewage sludge: Distribution, toxicity, identification methods, and engineered technologies HTT Minh Ky Nguyen, Mohammed Hadi, Chitsan Lina, Hoang-Lam Nguyen, Vu-Bin ... Chemosphere 308 (3), 136455, 2022 | 77 | 2022 |
| A comprehensive review of micro-and nano-plastics in the atmosphere: Occurrence, fate, toxicity, and strategies for risk reduction VG Le, MK Nguyen, HL Nguyen, C Lin, M Hadi, NTQ Hung, HG Hoang, ... Science of the total environment 904, 166649, 2023 | 49 | 2023 |
| Quality risk analysis for sustainable smart water supply using data perception D Wu, H Wang, H Mohammed, R Seidu IEEE transactions on sustainable computing 5 (3), 377-388, 2019 | 43 | 2019 |
| Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway H Mohammed, IA Hameed, R Seidu Science of the total environment 628, 1178-1190, 2018 | 37 | 2018 |
| Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach HM Tornyeviadzi, FA Neba, H Mohammed, R Seidu International Journal of Critical Infrastructure Protection 34, 100434, 2021 | 35 | 2021 |
| Modelling the impact of climate change on flow and E. coli concentration in the catchment of an ungauged drinking water source in Norway H Mohammed, AK Tveten, R Seidu Journal of Hydrology 573, 676-687, 2019 | 32 | 2019 |
| Machine learning approaches for predicting microplastic pollution in peatland areas HT Tran, M Hadi, TTH Nguyen, HG Hoang, MK Nguyen, KN Nguyen, ... Marine Pollution Bulletin 194, 115417, 2023 | 27 | 2023 |
| Climate-driven QMRA model for selected water supply systems in Norway accounting for raw water sources and treatment processes H Mohammed, R Seidu Science of The Total Environment 660, 306-320, 2019 | 23 | 2019 |
| Predictive analysis of microbial water quality using machine-learning algorithms H Mohammed, A Longva, R Seidu Environmental Research, Engineering and Management 74 (1), 7-20, 2018 | 21 | 2018 |
| Random forest tree for predicting fecal indicator organisms in drinking water supply H Mohammed, IA Hameed, R Seidu 2017 International Conference on Behavioral, Economic, Socio-cultural …, 2017 | 21 | 2017 |
| Modelling the impact of weather parameters on the microbial quality of water in distribution systems H Mohammed, HM Tornyeviadzi, R Seidu Journal of Environmental Management 284, 111997, 2021 | 19 | 2021 |
| Emulating process-based water quality modelling in water source reservoirs using machine learning H Mohammed, HM Tornyeviadzi, R Seidu Journal of Hydrology 609, 127675, 2022 | 17 | 2022 |
| A systematic framework for dynamic nodal vulnerability assessment of water distribution networks based on multilayer networks HM Tornyeviadzi, E Owusu-Ansah, H Mohammed, R Seidu Reliability Engineering & System Safety 219, 108217, 2022 | 17 | 2022 |
| Adaptive neuro-fuzzy inference system for predicting norovirus in drinking water supply H Mohammed, IA Hameed, R Seidu 2017 International Conference on Informatics, Health & Technology (ICIHT), 1-6, 2017 | 15 | 2017 |
| Modelling the impact of water temperature, pipe, and hydraulic conditions on water quality in water distribution networks H Mohammed, HM Tornyeviadzi, R Seidu Water Practice & Technology 16 (2), 387-403, 2021 | 13 | 2021 |
| Machine learning: Based detection of water contamination in water distribution systems H Mohammed, IA Hameed, R Seidu Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 13 | 2018 |
| Impact of climate forecasts on the microbial quality of a drinking water source in Norway using hydrodynamic modeling H Mohammed, A Longva, R Seidu Water 11 (3), 527, 2019 | 10 | 2019 |
| Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian process for machine learning (GPML) algorithms for the prediction of norovirus concentration in … H Mohammed, IA Hameed, R Seidu Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXV, 74-95, 2017 | 9 | 2017 |
| Semi-supervised anomaly detection methods for leakage identification in water distribution networks: A comparative study HM Tornyeviadzi, H Mohammed, R Seidu Machine Learning with Applications 14, 100501, 2023 | 6 | 2023 |
| Robust night flow analysis in water distribution networks: A BiLSTM deep autoencoder approach HM Tornyeviadzi, H Mohammed, R Seidu Advanced Engineering Informatics 58, 102135, 2023 | 6 | 2023 |
Hoese Michel TornyeviadziHULO.AIВерификована је имејл адреса на ntnu.no