Thesis supervisor: Péter Kozák
Location of studies (in Hungarian): angol Abbreviation of location of studies: DSME
Description of the research topic:
Description of the research topic:
Traditional studies of hydrological processes and water management systems have been based on regression-based analyses. Nowadays, however, the large amount of data available due to the use of modern monitoring systems allows for a more detailed dynamic analysis of processes based on patterns in the observed data. Climate change processes in our environment have led to a need to develop methods of analysis in water management that are sensitive to changes in observed data and their response, rather than the static approach of the past. AI-based assessment methods can be applied to changing environmental factors with greater efficiency than traditional methods.
Recommended language skills (in Hungarian): angol
Deadline for application: 2024-03-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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