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Reliable six-degree-of-freedom pose estimation is a key requirement for autonomous on-orbit servicing (OOS), in which a robotic spacecraft performs tasks such as inspection, maintenance, and life extension of other satellites in orbit. However, generating trustworthy ground truth for algorithm development remains challenging. This thesis investigates calibration, sensor evaluation, and sensor fusi

Architecture is often seen as the art of permanence, of creating structures meant to endure. But what happens when permanence is disrupted – when buildings fall into ruin or are dismantled? This thesis explores decay, reuse, and reassembly, challenging conventional preservation by embracing impermanence and unconventional outcomes. Set in the hills of Oltrepò Pavese in southern Lombardy, it focuse

Primary myelofibrosis (PMF) is the most severe form of myeloproliferative neoplasms (MPNs), for which allogeneic stem cell transplantation (allo-HSCT) is the only curative option. However, only a small portion of patients are eligible for it, and even if they are, there is no guarantee of success due to the many comorbidities associated with the disease (older age, splenomegaly, anemia), risk of g

Effective Integrated Business Planning (IBP) is essential for aligning strategic goals and resources across an organization, especially in today's volatile and complex market environment. This master's thesis evaluates the implementation of Anaplan, an Advanced Planning System (APS), within the IBP framework of Oatly, exploring both benefits gained and encountered challenges. By employing

A network of functionalist buildings and stadiums was originally designed for the 1940 Olympic games in Helsinki. Among these structures was the Rowing Stadium, which hosted the kayaking competition in 1952 after the games were postponed due to World War II. (Malmberg et al., 2017) Today, this once-vibrant building stands empty and has been prohibited to use since the end of 2021 due to significan

This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). The problem was split into three separate classes in order to evaluate objects with varying si

This thesis describes the development process of a digital tool that can be used by locksmiths to quickly and easily find the right components for repairing and replacing electronic locking mechanisms. The tool took the form of a mobile application and was developed in collaboration with Robust Ellåsning AB in Malmö, Sweden. The report describes an iterative, human-centered design process, from da

In this project, I investigate the combination of Natural Language Processing (NLP) with Item Response Theory (IRT) to advance the assessment and scoring of open response items. Traditional psychometric assessments are grounded in well-defined quality standards, yet assessments based on natural language have missed meeting these standards. To address this gap, I integrate NLP processed open respon

Monte Carlo simulation is a numerical method that can simulate complex physical systems and is widely used in the field of medical optics. For example, the Monte Carlo method was used to evaluate the effectiveness of near-infrared spectroscopy (NIRS) in the detection of intracranial hematoma (ICH). However, due to the relatively complex brain structure, the current simulation model is relatively s

Spatial transcriptomics, a powerful technique that merges sequencing and spatial data, offers unprecedented resolution for studying gene expression within tissues. This study focuses on developing a pipeline to design probes for Multiplexed Error-Robust Fluorescence In Situ Hybridisation (MERFISH) experiments to investigate the spatial distribution of the lung microbiome. Metagenomic data analysis

Att skapa en cirkulär ekonomi med hållbara produkter är en nödvändighet för dagens samhälle, särskilt kopplat till de klimatutmaningarna som vi har idag från bland annat överkonsumtion och dålig hantering vid slutet av produkternas livslängd. Projektet fokuserar på att ta fram en produkt som gjorts på återvunna material och att utmana tidigare materialbegränsningar. Detta har gjorts med en betonin

Most electricity in Lebanon is produced by burning fossil fuels, which produces more than one half of domestic greenhouse gas emissions, and the state-owned electricity companies are unable to meet the demand. To increase the country’s generation capacity and simultaneously combat the effects of climate change, the government aims to produce 30% of its electricity from renewables by 2030. It is ho

A Jacobian free multigrid preconditioner for linear problems arising from Implicit Discontinuous Galerkin (DG) discretizations is implemented. The preconditioner is based on a multigrid method for a low order Finite volume (FV) discretization on a subcellgrid. L2-projections are introduced as a strategy to translate between the discretizations. Numerical tests on advection dominated linear advecti

Momentum or trend following investing refers to trading strategies constructed around the idea that in financial markets, the current trend will, more often then not, prevail. In the context of asset prices, this means that previous returns or the price development of an asset is indicative of similar future returns and price development. While at odds with established theory such as the weaker fo

One fifth of the energy consumed by buildings in Sweden is by those built before 1945, many of them constructed from solid masonry walls. Improving their heating energy consumption is a challenge we must face in light of human’s impact on climate change as well as increasing energy costs. Improving thermal performance can be achieved with many insulating materials however the environmental impact

Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t

Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t