Hybrid differential equations: integrating mechanistic and data-driven techniques for modelling of water systems W Quaghebeur, E Torfs, B De Baets, I Nopens Water Research 213, 118166, 2022 | 44 | 2022 |
Hybrid modelling of water resource recovery facilities: status and opportunities MY Schneider, W Quaghebeur, S Borzooei, A Froemelt, F Li, R Saagi, ... Water Science and Technology 85 (9), 2503-2524, 2022 | 43 | 2022 |
Arsenic contamination in rainwater harvesting tanks around Lake Poopó in Oruro, Bolivia: An unrecognized health risk W Quaghebeur, RE Mulhern, S Ronsse, S Heylen, H Blommaert, ... Science of the total environment 688, 224-230, 2019 | 37 | 2019 |
Incorporating unmodeled dynamics into first-principles models through machine learning W Quaghebeur, I Nopens, B De Baets IEEE Access 9, 22014-22022, 2021 | 19 | 2021 |
Model-based control for a demand-driven biogas production to cover residual load rises L Peters, P Biernacki, W Quaghebeur, F Uhlenhut, S Steinigeweg Bioprocess and biosystems engineering 42, 1829-1841, 2019 | 8 | 2019 |
A hybrid modelling approach for reverse osmosis processes including fouling D Gaublomme, W Quaghebeur, A Van Droogenbroeck, M Vanoppen, ... Desalination 564, 116756, 2023 | 5 | 2023 |
Individual-based Modelling of Biodiversity in Microbial Communities W Quaghebeur Master's thesis. University of Ghent. 10.13140/RG.2.2.21784.21768, 2017 | 5 | 2017 |
P143–Integrated hybrid modelling of water resource recovery facilities by coupling mechanistic and data-driven ODE models W Quaghebeur, E Torfs, B De Baets, I Nopens 7th IWA Water Resource Recovery Modelling Seminar August 21st-25th, 2021, 2021 | 1 | 2021 |
Lattice-based versus lattice-free individual-based models: impact on coexistence in competitive communities AJ Daly, W Quaghebeur, TMA Depraetere, JM Baetens, B De Baets Natural Computing 18, 855-864, 2019 | 1 | 2019 |
Coexistence in Three-Species Cyclic Competition: Lattice-Based Versus Lattice-Free Individual-Based Models AJ Daly, W Quaghebeur, T Depraetere, JM Baetens, B De Baets Cellular Automata: 13th International Conference on Cellular Automata for …, 2018 | 1 | 2018 |
Hybrid models of dynamical systems: neural differential equations, Shapley value analysis and illustrations in water systems W Quaghebeur Ghent University, 2023 | | 2023 |
Uncovering the hidden potential of online data in Reverse Osmosis: a data-driven model to predict fouling TE Gaublomme, W., Van Droogenbroeck, A.,Quaghebeur, W., De Gusseme, B ... Euromembranes, 2021 | | 2021 |
Coupling Mechanistic and Data-Driven Models By Means of Neural Differential Equations to Incorporate Unmodeled Dynamics W Quaghebeur, D Fernandes del Pozo, E Torfs, B De Baets, I Nopens AIChE Annual Meeting, 2020 | | 2020 |
Neural differential equations: closing the gap between data-driven and mechanistic models W Quaghebeur, B De Jaegher, W De Schepper, E Torfs, A Verliefde, ... World Water Conference and Exhibition, 2020 | | 2020 |
Combining mechanistic and data-driven techniques for predictive modelling of wastewater treatment plants W Quaghebeur, B De Jaegher, B De Baets, I Nopens BeNeLux Young Water Professionals Conference, 2020 | | 2020 |
A more realistic model of microbial mobility and its effect on coexistence W Quaghebeur, A Daly, J Baetens, B De Baets 2nd International symposium on Microbial Resource Management (MRM-2), 2017 | | 2017 |
Uncovering Unknown Dynamics in Water Resource Recovery Facilities with Neural Differential Equations and Shapley Value Analysis W Quaghebeur, E Torfs, I Nopens, B De Baets Available at SSRN 4866775, 0 | | |