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Physics informed neural networks for 1D flood routing
(1st Serbian International Conference on Applied Artificial Intelligence (SICAAI), 2022)
Machine learning methods have been widely and successfully applied in hydrological problems. Most of the methods, such as artificial neural networks, have been focused on estimating hydrological data based on observation ...
Impact of Spatial Resolution of Fully-distributed Hydrologic Models on Flood Forecasting
(Budapest University of Technology and Economics, Department of Applied Biotechnology and Food Science, Budapest, 2017)
Climate change impact on extreme hydrologic events in Serbia
(Budapest University of Technology and Economics, Department of Applied Biotechnology and Food Science, Budapest, 2017)
Višekriterijumska kalibracija hidroloških modela
(Univerzitet u Beogradu, Građevinski fakultet, Beograd, 2016)
Floods in the Sava River Basin in May 2014
(Proceedings of the Mediterranean Meeting on Monitoring, modelling and early warning of extreme events triggered by heavy rainfalls . PON 01_01503 - MED-FRIEND project University of Calabria, Cosenza (Italy), June 26th-28th, 2014, 2014)
Decision support system for Iron Gate hydropower system operations
(Contemporary Water Management: Challenges and Research Directions, 2022)
Today, hydropower systems operate in highly competitive environment. Thus, it is important for them to get
maximum benefits out of existing assets, resources and constraints as well. In order to make the best possible ...
Reducing Uncertainty of Infrastructure Leakage Index - A Case Study
(Elsevier Ltd, 2014)
In water distribution systems (WDS) of developing countries, data about assets and consumption have great uncertainty. That uncertainty propagates to the performance indicators (PIs), leading to possible incorrect management ...
Identification of homogeneous regions for runoff estimation in ungauged basins
(11th International Multidisciplinary Scientific Geoconference (Sgem 2011), Vol II, 2011)
This paper addresses the problem of defining appropriate characteristic which leads to homogeneous regions identification, required for application of multiple nonlinear regression methodology for interpolation of hydrologic ...