Recent Submissions

Now showing items 31-40 of 12042

  • Využití skrytých Markovových modelů pro analýzu sportovních dat 

    Defence status: DEFENDED
    Josefus, Pavel (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 10. 2. 2026
    This thesis applies hidden Markov models to the analysis of football match dynamics. Using event data from 35 matches of FC Viktoria Plzeň, a minute-wise categorical activity variable with three levels is constructed to ...
  • Umělá inteligence pro curling 

    Defence status: DEFENDED
    Cihlářová, Klára (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 10. 2. 2026
    The aim of this thesis is to study the physical principles of curling and, based on these principles, to develop a computer simulation of a curling game. This simulation will subsequently serve as an environment for testing ...
  • Detekce změn v panelových datech 

    Defence status: DEFENDED
    Králová, Eva (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 10. 2. 2026
    This thesis deals with the issue of parameter stability in time in a linear regression model for panel data, specifically in the context of Fama-French models. First, these models are introduced, then the principles of ...
  • Čas trávený v penzi 

    Defence status: DEFENDED
    Ploužková, Karolína (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 10. 2. 2026
    This thesis analyzes the time spent in retirement in the Czech Republic. Due to the unavailability of public individual data on the actual duration of old-age pension receipt, this variable is modeled using life tables and ...
  • Distributed differentiable rendering for Mitsuba 3 

    Defence status: DEFENDED
    Pelc, Jakub (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 10. 2. 2026
    Mitsuba 3 is a research-oriented renderer capable of auto-differentiation and inverse rendering. It currently runs on a single CPU or GPU, hence unable to take advantage of distributed computing or multi-gpu systems. Our ...
  • Multimodal Ocular Disease Recognition 

    Defence status: DEFENDED
    Havel, Daniel (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 9. 2. 2026
    Multimodal Ocular Disease Recognition Bc. Daniel Havel Department of Software and Computer Science Education Abstract Fundus photography enables non-invasive detection of vision-threatening conditions, yet manual diagnosis ...
  • Geometrie komplexní projektivní přímky 

    Defence status: DEFENDED
    Šafář, Matěj (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 9. 2. 2026
    Title: Geometry of the complex projective line Author: Matěj Šafář Department: Mathematical Institute of Charles University Supervisor: doc. RNDr. Zbyněk Šír, Ph.D., Mathematical Institute of Charles University Abstract: ...
  • Galoisovy grupy a kořeny řešitelných polynomů 

    Defence status: DEFENDED
    Mišina, Ondřej (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 9. 2. 2026
    In this thesis we show how to compute Galois groups of polynomials of degree 3 and 4 over fields with characteristic other than 2. We define the discriminant and show that it is a square if and only if the Galois group ...
  • Adsorption geometry and protective properties of phenylphosphonic acid on inorganic materials 

    Defence status: DEFENDED
    Kalinovych, Viacheslav (Univerzita Karlova, Matematicko-fyzikální fakulta, 2025)
    Date of defense: 28. 2. 2025
    The thesis investigates the adsorption and thermal stability of phenylphosphonic acid (PPA) on Cu(111) and cerium oxide films of different stoichiometry, composition, and morphology. A combination of advanced analytical ...
  • Models for multivariate ordinal data 

    Defence status: DEFENDED
    Král, Petr (Univerzita Karlova, Matematicko-fyzikální fakulta, 2026)
    Date of defense: 6. 2. 2026
    This thesis studies cumulative probit regression for ordinal data. We focus on computa- tional aspects of multivariate and longitudinal models. Correlated latent variables and random effects reduce likelihood evaluation ...

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