Kvalifikační práce
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Study of snow data assimilation in Numerical Weather Prediction model ALADIN
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 10. 6. 2025This study presents the implementation of snow depth data assimilation within the NWP model ALADIN. Snow depth measurements from various sources are described. The principles of optimal interpolation are reviewed and a ... -
Re-accretion of wind and supernova matter onto a central black hole.
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 10. 6. 2025Massive stars which end their life as stellar mass black holes significantly reshape their surrounding interstellar medium (ISM) through fast stellar winds, ultraviolet ionizing radiation, and supernova ejecta. The black ... -
Framework for Realtime Realistic and Interactive Simulations of Animal Flocking
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 10. 6. 2025Flocking behavior of groups of animals is a fascinating natural phenomenon. In computer games, flocking simulations can enhance visual realism or create novel mechanics. This thesis presents a framework for flocking in the ... -
Generace extrémně krátkých laserových pulzů v nelineárním prostředí s negativní disperzí grupových rychlostí
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 10. 6. 2025This thesis is focused on the study of pulse compression. We start with pulses with duration of 25-30 fs and wavelenght of 2000 nm. The compression of the ultrashort pulses is based on the spectral broadening due to ... -
Study of physical and chemical properties of tin dioxide-based systems
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2022)Date of defense: 28. 6. 2022Title: Study of physical and chemical properties of tin dioxide-based systems Author: Oleksandr Leiko Department: Department of Surface and Plasma Science Supervisor: doc. RNDr. Karel Mašek, Dr. Abstract: In the presented ... -
A Spatiotemporal Graph Neural Network for Early Cancer Detection via Cytokine Signaling Dynamics
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 9. 6. 2025Title: A Spatiotemporal Graph Neural Network for Early Cancer Detection via Cytokine Signaling Dynamics Author: Robert Goldwein Department: Department of Theoretical Computer Science and Mathematical Logic Supervisor of ... -
Machine learning methods use to extract domain control knowledge in planning problems
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 9. 6. 2025Domain Control Knowledge (DCK) could significantly improve planning efficiency of general planners. Automatic creation of such knowledge with computers could be very helpful. In this thesis, two machine learning techniques ... -
Scalable and Interpretable Conjugate Gradient Techniques
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 9. 6. 2025The widespread use of neural networks and their increasing complexity necessitate effective training algorithms to optimize their performance. While second-order methods like Scaled Conjugate Gradient (SCG) offer potential ... -
Parameter-efficient unlearning of sensitive data in Large Language Models
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 9. 6. 2025Large language models show remarkable performance in many natural language pro- cessing tasks. However, their pre-training on web-scraped data raises ethical concerns and potentially legal issues. Due to their ability to ... -
Predicting the Popularity of Social Network Posts
Defence status: DEFENDED(Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)Date of defense: 9. 6. 2025
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