Search results

Handelsresandeproblemet (the Traveling Salesman Problem, TSP) är ett välkänt optimeringsproblem som kan vara utmanade att lösa även för dagens mest kraftfulla datorer. Problemet är enkelt att formulera: en handelsresande ska hitta den kortaste vägen för att besöka N städer och sedan återvända till staden hen startade i. Svårigheten härstammar från att när antalet städer ökar i problemet, ökar ocksThe traveling salesman problem (TSP) is a well-known computationally hard problem often used to benchmark new optimization algorithms. With recent advances in the field of quantum computing, quantum optimization algorithms are emerging as promising new ways to potentially solve such problems that remain difficult for classical computers. However, most modern quantum processing units (QPUs) still l

This study investigates the relationship between ESG scores and downside risk across various sectors in the Nordic markets from 2018 to 2022. ESG, a widely recognized concept in finance, evaluates companies’ performance based on their environmental, social, and governance practices. We examine how both the overall ESG scores and the individual pillars influence downside risk in 11 different sector

Studiens syfte var att undersöka klassiska musikstudenters erfarenheter av att öva på och lära sig klassisk musik. Datainsamlingen gjordes genom semistrukturerade intervjuer med nio musikstudenter som studerar klassisk musik på avancerad nivå. Intervjuerna analyserades utifrån reflexiv tematisk analys med kritisk-realistisk epistemologisk ansats. Analysen utmynnade i fyra huvudteman: 1) Ingen motiThe aim of the study was to examine classical music students' experiences of practicing and learning classical music. Data was collected through semi- structured interviews with nine music students studying classical music at advanced level. The interviews were analyzed using a critical realist and reflexive thematic analysis. The analysis resulted in four main themes: 1) No motivation, no mus

TRPA1, also known as the wasabi receptor, is a non-selective cation ion channel that plays an essential role in the detection of noxious substances and irritants. Hylobius abietis, the pine weevil, is a pest that causes substantial damage to the forestry industry. The structure of the pine weevils TRPA1 (HaTRPA1) is so far unknown. If the structure were to be determined, an agonist could be develo

This thesis investigates various communication strategies and similarity metrics within decentralized deep learning (DL). Decentralized learning allows organizations or users to collaborate on improving personalized deep neural networks while maintaining the privacy of their datasets. When the distribution of data varies across participating users, this task becomes more challenging, as not all co

The Sámi people are the only recognised Indigenous people in Europe. Historically, they have not only been oppressed and colonialised, but also not been as included in, or consulted on decision-making processes by the governments of the countries they live in. The European Union is seen as a trailblazer for human rights and equality, in addition to being a determined actor within the green energy

The aim of this study is to explore cultural managers' experiences of organizational culture in the hybrid setting from a symbolic interactionist perspective. It is a qualitative case study conducted within the interpretivist research tradition. We have applied an abductive research approach and collected data through fifteen semi-structured interviews at a single case organization. Our study

Leukemia is the most common type of cancer in children, with B-cell acute lymphocytic leukemia (B-ALL) being a common type in both children and adults. Different types of treatments are available, such as chemotherapy, stem cell treatment and immunotherapy. However, a recurring problem is relapses, with the survival rate after relapse being very low. In combating this issue new methods have been d

Classical music institutions are confronting declining attendance among younger and diverse audiences, fearing an aging visitor demographic. The LUDICH Project at Lund University, in collaboration with several industry partners, academic institutions, the Malmö Symphony Orchestra and their home concert hall of Malmö Live aims to address this challenge by investigating innovative digital solutions

Syftet med denna uppsats är att undersöka de drivkrafter som motiverar människor till att välja att bo i bogemenskaper i Sverige samt att identifiera de ideal som speglas i deras upplevelser och val av boendeform. Studien baseras på tio semi-strukturerade intervjuer med boende i bogemenskaper och personer som arbetar med co-living i Sverige, samt en deltagande observation på en bogemenskap i Sveri

This study delves into the potential of contactless palmprints within large-scale biometric frameworks, focusing on improving candidate narrowing through an encoder-based approach. Utilizing deep neural networks and trained via semi-hard triplet learning, the research transforms palm images into distinctive feature vectors for precise identification and candidate selection. Comprehensive analysis

In this master’s thesis, it is explored in what directions a market leading company with an established product portfolio can expand. Thereafter a concept is developed as an example of a niche product. Firstly, a market screening is performed with regards to trends, competitor products and needs in different market segments. Moreover, the company’s strategy is taken into consideration with the s

Prefetching is a well known concept for CPUs but for GPUs it is fairly unexplored. The memory management of a GPU plays a crucial role in its performance, and cache prefetching has the potential to lower the overall latency. This thesis compares different types of prefetching methods for GPUs and remaking some CPU prefetchers to fit the GPU architecture. All these prefetchers were then put inside

Denna uppsats undersöker artificiell intelligens förmåga att klarspråksanpassa text. Syftet med undersökningen är att ta reda på om Chat GPT-4 kan användas för klarspråksanpassning, och om Chat GPT-4:s klarspråksanpassningar skiljer sig från mänskliga klarspråksanpassningar och i så fall hur. Materialet består av sex klarspråksanpassade versioner av en text från en svensk myndighet. Tre av textern

This thesis analyses the risk of nonstandard errors affecting bank prediction using machine learning. Nonstandard errors are defined as the type of errors that occur during the Evidence Generating Process (EGP), meaning that these occur as a consequence of decision-making by researchers, rather than from sampling. The aim is to analyze how different choices of methods for pre-processing and data e

Inhalable particulate matter concentrations have been found to reach concerning levels in underground subway stations around the world. Brake particles have been identified as a significant contributor to these elevated levels. However, there is still limited research into the effect of the braking behaviour of trains on the emissions of brake wear particles. The present thesis examines the influe

Bakgrund: Kabinpersonalen präglas av en mängd olika normer och regler, dessa utgörs av säkerhetskrav, hierarkier och professionella riktlinjer. Dessa strukturer styr kabinpersonalens arbete, vars huvudsakliga uppgift är att säkerställa passagerarnas säkerhet och komfort under flygningen. Denna yrkesgrupp står inför en unik utmaning med konstant exponering för passagerare och behovet av att hantera

To meet the future demands and growing challenges in operating heat-exchangers at temperatures greater than 600°C, it is crucial to understand the high-temperature oxidation performance of materials for their components. Namely, it is necessary to study oxidation kinetics and elemental composition of the oxide scale to understand how the materials behave and degrade in such extreme conditions. In

At a time when artificial intelligence is developing rapidly, this thesis explores the issue of copyright infringement of AI-generated artworks. This study aims to analyze the legal complexities brought about by the increasingly widespread application of artificial intelligence in the creation of original artworks, with a special focus on the protection of creators’ rights and intellectual propert