| Leakage detection in water distribution networks via 1D CNN deep autoencoder for multivariate SCADA data HM Tornyeviadzi, R Seidu Engineering Applications of Artificial Intelligence 122, 106062, 2023 | 50 | 2023 |
| 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 weather parameters on the microbial quality of water in distribution systems H Mohammed, HM Tornyeviadzi, R Seidu Journal of Environmental Management 284, 111997, 2021 | 20 | 2021 |
| 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 |
| 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 | 16 | 2022 |
| 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 | 14 | 2021 |
| Self-optimizing attainable regions of the anaerobic treatment process: Modeling performance targets under kinetic uncertainty FA Neba, HM Tornyeviadzi, SW Østerhus, R Seidu Water Research 171, 115377, 2020 | 11 | 2020 |
| Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework LV Nguyen, HM Tornyeviadzi, DT Bui, R Seidu Water 14 (3), 300, 2022 | 7 | 2022 |
| 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 |
| Modelling the performance potential of forced and natural-draft biomass cookstoves using a hybrid Entropy-TOPSIS approach G Boafo-Mensah, FA Neba, HM Tornyeviadzi, R Seidu, KM Darkwa, ... Biomass and Bioenergy 150, 106106, 2021 | 6 | 2021 |
| Dynamic segment criticality analysis: A precursor to scheduling of maintenance routines in water distribution networks HM Tornyeviadzi, H Mohammed, R Seidu Alexandria Engineering Journal 61 (12), 9261-9272, 2022 | 5 | 2022 |
| Can the operating limits of biogas plants operated under non-isothermal conditions be defined with certainty? Modeling self-optimizing attainable regions FA Neba, M Tornyeviadzi, NY Asiedu, A Addo, J Morken, SW Østerhus, ... Computers & Chemical Engineering 141, 107001, 2020 | 4 | 2020 |
| Node search space reduction for optimal placement of pressure sensors in water distribution networks for leakage detection HM Tornyeviadzi, E Owusu-Ansah, H Mohammed, R Seidu Alexandria Engineering Journal 94, 325-338, 2024 | 3 | 2024 |
| Scattering of kinks in noncanonical sine-Gordon Model I TAKYI, B BARNES, HM TORNYEVIADZI, J ACKORA-PRAH Turkish Journal of Physics 46 (1), 37-50, 2022 | 2 | 2022 |
| Geometry, kinetics and reactor network synthesis: Attainable limits for minimizing residence time in biomethane digesters FA Neba, HM Tornyeviadzi, A Addo, NY Asiedu, J Morken, SW Østerhus, ... Computers & Chemical Engineering, 106816, 2020 | 1 | 2020 |
| Deep Autoencoders for Efficient Leakage Diagnosis in Water Distribution Networks HM Tornyeviadzi NTNU, 2024 | | 2024 |
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