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Development of a Lagrangean Dual Method for Solving Sequentially Connected 2D Assignment Problems: Modified deflected subgradient optimization and ergodic sequences
(2025-10-23)This thesis addresses multi-object tracking (MOT) problems and studies efficient methods for evaluating the Trajectory Generalized Optimal Sub-Pattern Assignment (TGOSPA) metric. The primary objective is to develop a ... -
Inversion Methods for Malign Melanoma Detection
(2025-09-15)This thesis concerns the coefficient inverse problem from Maxwell’s equations, related to finding the electric permittivity and conductivity using backscattered time-dependent electrical fields. The aim is to reconstruct ... -
The tip of the iceberg: using AI to identify toxic chemicals
(2025-08-26)This project was conducted to analyze the TRIDENT models described by Gustavsson et al. in the article Transformers enable accurate prediction of acute and chronic chemical toxicity in aquatic organisms [1]. The aims were ... -
Minimising cycle time in an assembly line with human workers
(2025-06-10)Efficient coordination is essential in automotive assembly lines, where multiple workers collaborate on a single product. This study focuses on optimising the cycle time of assembly processes involving human workers ... -
Statistical Modeling for Prediction of Vehicle Usage
(2025-06-10)Battery electric vehicles (BEVs) are increasingly being adopted in all parts of the world. However, challenges such as maximizing the battery lifespan and efficiency, as well as the need for smart energy management systems ... -
Statistical Modeling of Insect Trajectories Using a Kalman Filter
(2025-05-19)This thesis investigates the foraging behavior of the beetle Scarabaeus zambesianus using state-space models (SSM) and the Kalman filter. The study focuses on tracking the beetle’s trajectory from video footage, employing ... -
Dilation theory and som of its applications
(2025-05-19)The purpose of this thesis is to explain some results in dilation theory. In this regard, it has been given the principal results and ideas on positive maps and dilation theory such as Nagy’s theorem, von Neumann’s ... -
Discretization of the Interior Neumann Problem using Lusin Wavelets
(2025-05-19)We prove the existence of Hilbert space frames for the complex Hardy subspaces of L2(T), consisting of simple rational functions whose poles are arranged according to a Whitney partition. We also present parts of the ... -
Bisc, a biclustering extension to scregclust
(2025-04-14) -
Similarity Problems: Which Groups Are Unitarizable?
(2024-08-20)This thesis covers some theory on similarity of group representations to unitary representations. We discuss the notion of amenability and give some classes of groups that are amenable. We then prove the Dixmier-Day ... -
Efficient Implementation of the 3D Helmholtz equation in C++/PETSc
(2024-08-12)The paper describes the comparison of different preconditioners for the solution of the Helmholtz equation with Krylov subspace methods in three dimensions. The solution of this equation has applications in microwave ... -
Prime number races
(2024-08-12)In this thesis we investigate the behaviour of primes in arithmetic progressions, with a focus on the phenomenon known as Chebyshev’s bias. Under the assumption of the Generalized Riemann Hypothesis and the Linear ... -
Point Process Learning estimation of bandwidth selection for the pair correlation function.
(2024-08-12)In this master thesis I use the newly developed method of Point Process Learning (PPL) to select the bandwidth used when estimating the Pair correlation function with kernel estimation. The selection of bandwidth when ... -
Tensor products of Leavitt algebras
(2024-08-12)We outline the construction of the Leavitt algebras Ln, and prove that L2 ⊗L2 is not isomorphic to L2 by using Hochschild homology. -
Entropic Proximal Gradient Method for Generalized Optimal Transport Problems
(2024-08-12)Optimal transport, a fundamental problem in applied mathematics, involves finding the most efficient way to move mass from multiple sources to multiple destinations. Previously known approaches employ entropic regularization ... -
Optimisation and Sampling Strategies for Bayesian Mixed-Effects Models: A comparative study
(2024-08-12)In this thesis we investigate, and compare, the efficiency of both stochastic optimisation using stochastic automatic differentiation (SAD) and Bayesian sampling using Metropolis- Hastings algorithms for parameter ... -
Dilaton Theory and some of its Applications
(2024-07-04)The purpose of this thesis is to explain some results in dilation theory. In this regard, it has been given the principal results and ideas on positive maps and dilation theory such as Nagy’s theorem, von Neumann’s ... -
Quantum Graphs: Different Perspectives
(2024-07-04)In this thesis, we investigate two different notions of quantum graphs. The first approach is through quantum adjacency matrices, while, the second approach is through bimodules over finite-dimensional algebras. We ... -
Data Augmentation for Point Process Learning
(2024-07-03)This thesis introduces and evaluates ideas for the use of data augmentation in the area of Point Process Learning. Motivated by the regularizing effect of training with augmented data sets, we create a follow-up work to ... -
Point Process Learning estimation of bandwidth selection for the pair correlation function
(2024-06-25)In this master thesis I use the newly developed method of Point Process Learning (PPL) to select the bandwidth used when estimating the Pair correlation function with kernel estimation. The selection of bandwidth when ...
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