Masteruppsatser
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Audio Anomaly Detection in Cars
(2023-09-11)Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio ... -
Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden
(2023-08-23)Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of ... -
Regulatory Driven Clustering of Single-Cell Data; Clustering of single-cell RNA sequencing from glioblastoma with a novel mathematical method
(2023-08-08)Cancer is a leading cause of death worldwide. Single-cell RNA sequencing has arisen as an important method to explore the gene expression of biological cells, including cancer cells. In this study, we deployed a computational ... -
Credit Card Fraud Detection by Nearest Neighbor Algorithms
(2023-04-13)As the usage of internet banking and online purchases have increased dramatically in today’s world, the risk of fraudulent activities and the number of fraud cases are increasing day by day. The most frequent type of ... -
Point process learning for non-parametric intensity estimation with focus on Voronoi estimation
(2023-03-28)Point process learning is a new statistical theory that gives us a way to estimate parameters using cross-validation for point processes. By thinning a point pattern we are able to create training and validation sets ... -
The low-lying zeros of L-functions associated to non-Galois cubic fields
(2023-02-13)We study the low-lying zeros of Artin L-functions associated to non-Galois cubic number fields through their one- and two-level densities. In particular, we find new precise estimates for the two-level density with a ... -
Decision Policies for Early Stage Clinical Trials with Multiple Endpoints
(2022-11-11)Before a drug can be prescribed to patients, it must be shown to be safe and effective for a certain indication in a controlled clinical trial (known as Phase III). Such studies are costly to run and expose patients to ... -
Modelling the effect of multimodal pain rehabilitation
(2022-09-21)Chronic pain is a cause of suffering in a large share of the population and a leading public health problem. Multimodal pain rehabilitation (MMR) is a multidisciplinary rehabilitation method commonly used to treat chronic ... -
Investigation of portfolio strategies by means of simulation
(2022-07-01)Portfolio insurance strategies are constructed to limit an investors loss but still reward them when the market goes up. In this thesis we compare two portfolio insurance strategies, Constant proportion portfolio insurance ... -
Cluster KL-UCB: Optimism for the Best, Pessimism for the Rest
(2022-06-28)The project presents an allocation strategy for the stochastic multi armed bandit when considering instances with a clustered structure. Using the architecture of the KL-UCB policy as a source of inspiration, an algorithm ... -
Artificial Intelligence for Option Pricing
(2022-06-19)This thesis addresses the issue of vulnerable underlying assumptions used in option pricing methodology. More precisely; underlying assumptions made on the financial assets and markets make option pricing theory vulnerable ... -
Machine Learning for NCC's Concrete Pile Production
(2021-09-17)In this thesis, the usefulness of machine learning (ML) is evaluated for the processes of NCC's subsidiary company Hercules. It is evaluated with regard to ML's ability to assist reduction of CO2 footprint and costs. The ... -
Knowing a Thousand Formulas Is Not The Same as Knowing Mathematics
(2021-09-07)This research is about how students at different levels of mathematical studies view, understand and study mathematics. The research is based on two theories on mathematical understanding, James Hiebert and Patricia ... -
An argument principle for generalised point residues
(2021-08-24)We define a point residue for any Artinian O-modules via Hermitian free resolutions, generalising the one dimensional residue and the classical multivariate Grothendieck point residue. We consider various definitions of ... -
FEASIBILITY ANALYSIS AND EFFICIENT ROUTING FOR A PARTIALLY AUTOMATED DELIVERY SYSTEM WITHIN CHALMERS CAMPUS
(2021-06-21)Abstract The use of autonomous driving robot transportation technology to solve the last mile delivery problem is a research hot spot in today’s logistics industry. This thesis aims to analyze the feasibility of applying ... -
Numerical Analysis of Yield Curves Implied by Two-Factor Interest Rate Models
(2021-06-15)Abstract We investigate the yield curves implied by coupon bonds in models where the market short rate is given by a two-factor stochastic model. Specifically, we investigate generalisations of the two-factor Vasicek, ... -
RISK ESTIMATION FOR PERCEPTION FAILURES IN AUTOMATED DRIVING
(2021-06-15)The failure of sensors to perceive the environment correctly is one of the primary sources of risk that needs to be quantified in the development of active safety features for autonomous vehicles. By extracting training ... -
Sequential Anomaly Detection for Log Data Using Deep Learning
(2021-06-14)Abstract Software development with continuous integration changes needs frequent testing for assessment. Analyzing the test output manually is time-consuming and automating this process could be beneficial to an ... -
Effective quasiparallelogram laws on elliptic curves over number fields
(2021-05-21)We introduce the classical theory of heights on projective space and prove explicit quasiparallelogram laws for the ordinary height and the naive height on elliptic curves over number fields with shortWeierstrass equations. ...
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