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G. Paál

3 papers hereh-index 151k citations90 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • math.AP1

identity via Semantic Scholar / OpenAlex

most citedDeep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems

91 citations · 93 across the 3 of their papers we have counts for

collaborators

3 papers

math.AP2021

Analytic investigation of the compatibility condition and the initial evolution of a smooth velocity field for the Navier-Stokes equation in a channel configuration

Péter Tamás Nagy, György Paál

A partial differential equation has usually a regular solution at the initial time if the initial condition is smooth in space, fulfills the governing equations and is compatible w…

cs.AI2020★ 91 cited

Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems

Gergely Hajgató, György Paál, Bálint Gyires-Tóth

Real-time control of pumps can be an infeasible task in water distribution systems (WDSs) because the calculation to find the optimal pump speeds is resource-intensive. The computa…

cs.LG2020★ 2 cited

Predicting the flow field in a U-bend with deep neural networks

Gergely Hajgató, Bálint Gyires-Tóth, György Paál

This paper describes a study based on computational fluid dynamics (CFD) and deep neural networks that focusing on predicting the flow field in differently distorted U-shaped pipes…

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