This thesis is focused on the RSA algorithm in number fields and on lattices. Specif- ically, we extend the work the authors Zheng and Liu in their article High Dimensional RSA. In the thesis we precisely describe all the ...

Protein-ligand binding sites are positions on the protein structure where the protein interacts with other molecules. PrankWeb is a web server devel- oped at MFF UK allowing prediction of such places. These predictions are ...

The present thesis is focused on the development of a crystal structure of A2B2O7 materials, where A is a rare-earth element and B is a transition metal. These materials crystalize generally in four crystallography structures. ...

The main objective of this thesis is to use the data measured by the MAVEN spacecraft and machine learning methods to develop models of the locations of bow shock and magnetic pileup boundary. Characteristic values of ...

For a class of modules C, we study the class lim ←− C of modules that can be obtained as inverse limits of modules from C. In particular, we investigate how additional properties of the class C are reflected by properties ...

In this thesis, we will introduce various methods for measuring risk known as Value at Risk (V aR) and Conditional Value at Risk (CV aR). We will use their properties and formulations in deriving a linear optimization ...

The thesis studies theories of dimensional reduction on the example of the Kac- Zwanzig (heat bath) model. The studied methods are the Mori-Zwanzig projection for- malism and the lack-of-fit reduction, both applied for two ...

Describing viscoelastic fluids is a difficult task, as the viscoelastic phenomena are not fully understood. This work follows a method for deriving viscoelastic models that accu- rately capture the behavior of fluids with ...

This thesis deals with the analysis of the blockchain used for Bitcoin. Blockchain is a distributed database of all transactions made with this cryptocurrency. Its public availability represents the possibility of examining ...

This diploma thesis focuses on the application of classification and regression trees, as well as bootstrap aggregating, to individual reserving in insurance. In the first part, we provide a summary of the theory and ...

Táto práca je venovaná skúmaniu Pólyovho-Aeppliho procesu a zároveň Pólyovho- Aeppliho rozdelenia, ktoré sa v tomto procese využíva. Pri Pólyovom-Aeppliho rozdelení sú uvedené dva tvary pravdepodobnostnej funkcie - rekurzívny ...

Silicon carbide (SiC) is due to its unique electrical and mechanical properties very important material for photonics and electronics. Hexagonal polytypes of SiC are being used as substrates for the growth of epitaxial ...

This thesis explores the practical use of generalized linear models. The aim of the thesis is to analyze the claims inflation for Motor Third Party Liability Insurance. For this purpose, current data from a Czech insurance ...

This thesis deals with the description of categories of finite-dimensional representati- ons of quivers. Its aim is to present a classification of indecomposable objects in this category for quivers whose underlying graph ...

The thesis examines how to use trading strategies and indicators from stock markets, that are well-known and used for years, to the new and dynamically growing crypto markets. The goal of the thesis is to design and implement ...

In the thesis, we are dealing with Hayashi's conjecture in the context of conjugation quandles. We analyze their connectedness and, by using ideas presented by David Stanovský and Petr Vojtěchovský in the proof of the claim ...

This bachelor's thesis focuses on exploring the SIDIS data collected at the COMPASS experiment in 2022. The beginning of the thesis briefly summarises the theory, including the SIDIS, the definition of the kinematic variables ...

Reed-Solomon codes are a typical example of MDS codes, that are frequently used in practise. In this thesis, we go over three different algorithms of decoding these codes, including the initial view from the original ...

In this work, we focus on the application of machine learning techniques to study radio recordings of lightning discharges. Our goal was to develop an algorithm that could autonomously detect and classify different types ...

Nowadays, SMT solvers are used for solving various problems in multiple fields. Therefore, it makes sense to optimize their speed depending on the size and type of the problems. However, going over and comparing results ...