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Gergely Hajgató
Gergely Hajgató
HUMDA Lab Nonprofit Ltd.
Verified email at humda.hu
Title
Cited by
Cited by
Year
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
312020
Reconstructing nodal pressures in water distribution systems with graph neural networks
G Hajgató, B Gyires-Tóth, G Paál
arXiv preprint arXiv:2104.13619, 2021
162021
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
112022
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
52019
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
22020
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
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Articles 1–6