
ASSESSING PAN EVAPORATION TRENDS IN THE V-H RIVER BASIN, SLOVAK REPUBLIC, USING ARTIFICIAL INTELLIGENCE TECHNIQUES
(STEF92 Technology, 2025-08-15, Beáta Novotná, Vladimír Cviklovič, Lucia Tátošová)
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The combination of Long Short-Term Memory (LSTM) neural networks, comprehensive trend analysis, and standardized pan evaporation measurements creates the capability for understanding and predicting regional evaporation dynamics in the context of climate change in this study. Based on the thorough examination of this study in the Slovak Republic's Vah river basin the K-means clustering analysis revealed three different patterns of evaporation behaviour (1.5-3.2 mm/day); the seasonal analysis revealed that peak evap...


