Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems G Hajgató, G Paál, B Gyires-Tóth Journal of Water Resources Planning and Management 146 (11), 04020079, 2020 | 32 | 2020 |
Reconstructing nodal pressures in water distribution systems with graph neural networks G Hajgató, B Gyires-Tóth, G Paál arXiv preprint arXiv:2104.13619, 2021 | 16 | 2021 |
PredMaX: Predictive maintenance with explainable deep convolutional autoencoders G Hajgató, R Wéber, B Szilágyi, B Tóthpál, B Gyires-Tóth, C Hős Advanced Engineering Informatics 54, 101778, 2022 | 11 | 2022 |
Accelerating Convergence of Fluid Dynamics Simulations with Convolutional Neural Networks G Hajgató, B Gyires-Tóth, G Paál Periodica Polytechnica Mechanical Engineering 63 (3), 230-239, 2019 | 5 | 2019 |
Predicting the flow field in a U-bend with deep neural networks G Hajgató, B Gyires-Tóth, G Paál arXiv preprint arXiv:2010.00258, 2020 | 2 | 2020 |
Investigation of Centrifugal Pumps' Suction Performance With Changing the Impeller Rotational Speed G Hajgató, Z Pandula Gépészet 2012 Proceedings of the Eighth International Conference on …, 2012 | | 2012 |