Examensarbeten vid vår institution

A Capacity-based price model for composite travel products

Grive, Eric; Åkerman, Nils

A comparison of a distributed control system’s graphical interfaces: a DoE approach to evaluate efficiency in automated process plants

Maanja, Karen

A Hybrid Approach to Scenario Generation for Stress Testing Market Fluctuations: Blending VAE and GAN Models to Generate Volatility Surfaces and Stock Returns

Ioanes, Mark

Advancing Credit Risk Analysis through Machine Learning Techniques: Utilizing Predictive Modeling to Enhance Financial Decision-Making and Risk Assessment

Lampinen, Henrik; Nyström, Isac

An implementation of a convertible bond pricing method to price a plain vanilla convertible bond

Ågren, Ludvig

Approximation Capabilities of a Neural Network

Gammelli, Elin

Autoencoder-based anomaly detection in time series: Application to active medical devices

Gietzelt, Marie

AVVECKLING INOM SJUKFÖRSÄKRING: En studie kring modeller och variabler för optimering av avvecklingsfunktionen

Gunnarsson, Majken; Ludvig, Ågren

Classifying laser solders: Machine learning in production

Rhönnstad, Jonas; Rojroung, Kevalin

Data driven driving evaluation: A supervised machine learning approach for classification of high frequency triaxial acceleration

Lundberg, Henrik

EFFEKTIVT BESLUTSFATTANDE HOS NORRMEJERIER: En optimeringsmodell för implementering av nya produktkategorier och förändrade produktionsvolymer

Herou, Emma; Vänn, Arvid

Enhancing Document Retrieval in the FinTech Domain: Applications of Advanced Language Models

Hansen, Jesper

ESG FACTORS IN EQUITY MARKET INVESTMENTS: AN ANALYSIS OF PORTFOLIO AND INDEX FUND RETURNS

Höglund, Elinor

Estimating Payoff Distributions of US LifeInsurance Portfolios: An Evaluation of Two Approaches: A Monte Carlo Method and the De Pril’s Algorithm

Alm, Hannes; Lindman, Johan

Evaluating thematic exposures using natural language processing: an unsupervised topic modeling approach to improve classification and mitigate risk

Järvenstrand, Robert; Åström, Ludvig

Exploring Bayesian Vector Autoregression Models In Portfolio Allocation

Eliasson, Johan; Järvenstrand, Rickard

EXPLORING MACHINE LEARNING APPROACHES FOR PREDICTING STOPS IN WELDING ROBOT OPERATIONS

Hyllbrant, Amanda; Janpechpanao, Chiratchaya

Inköpsstrategier: Modellering av Partiformningsproblemet för att skapa bättre förutsättningar för en störningsfri montagelina

Thorstensson, Johanna

Learning-Based Risk Calculations: A Machine Learning Approach for Estimating Historical Simulation Value-at-Risk

Fredriksson, Oscar; Grelz, Filippa

Market Risk Modelling Of Commodity Futures: Implementing commodity futures product type into Swedbanks risk system

Lindqvist, Julia

Minimering av kapitalbindning: Logistiska möjligheter och utmaningar med produktionsanläggning i Sverige

Fransson, Hanna

Optimering av asfaltproduktion för minskad klimatpåverkan: Minimering av koldioxidutsläpp i Skanskas asfalt

Alm, Hannah

OPTIMERING AV TRANSPORTFLÖDET FÖR MASSAVED: Minimering av transportkostnader och koldioxidutsläpp för Norra Skogs tåg- och lastbilstransporter

Häggström, Hanna; Leonardson, Mimmi

OPTIMIZATION OF INVENTORY LEVELS FOR LOGISTICS CENTER DIMENSIONING: A simulation-based approach for the determination of safety stock levels and storage dimensions

Holmner Härgestam, Olivia; Wallström, Julia

Portfolio Optimization

Jayathilaka, Kaushalya

Predicting Battery Lifetime Based on Early Cycling Data: Using a machine learning approach

Forsgren, Julia; Gerendas, Vera

PREDICTING NET GAME REVENUE USING STATISTICAL MODELING: A seasonal ARIMA model including exogenous variables

Engman, Amanda; Venell, Alva

Prediction of project yield and project success in the construction sector using statistical models

Wolf-Watz, Max; Zakrisson, Benjamin

Predictive Modeling in Marketing Campaigns: Applying Machine Learning Techniques for Improved Campaign Evaluation

Carling, Albert

Prediktivt besultstöd med hjälp av maskininlärning: Ett skifte från traditionella metoder till datadrivna lösningar

Murhagen, David; Jonsson, Gustav

Prepayment Modeling in Mortgage Backed Securities: Independent and Strategic Approaches to Prepayment Timing

Andersson, Johanna

Projective Geometry in Kinematics

Eriksson, Emil

RE-DESIGNING THE PACKAGING NETWORK: CURRENT STATE & FUTURE POTENTIAL

Berglund, Max

Simulation-based Optimisation of a Finished Goods Inventory: A qualitative and quantitative capacity analysis using discrete event simulation

Barnes, Patrik; Malmbom, Kevin

Simulering & optimering av timmerhanterares arbete: Analys av kapacitet hos timmerhanterare på Sävar Såg

Henriksson, Oscar

Terrain Classification for Real-Time Application: Using Supervised Multivariate Time Series Classification on Vehicular Sensor Data

Westberg, Sanna

The Abel-Ruffini Theorem: The insolvability of the general quintic equation by radicals

Sjöblom, Axel

The Riemann Mapping Theorem

Bjurulf, Harald

Transaction classification using a large language model: A study on whether large language models can be used to make accurate classifications of financial transactions within IKEA Supply

Andersson, Linnéa

Utilizing Statistical Modeling to Enhance Data Quality Management in Gas Turbine Delivery Process: Utilizing Mathematical Modeling and Complexity Analysis to Address Data Quality Challenges in Gas Turbine Product Management: A Statistical Approach

Alkai, Khaled; Abosamak, Wael

Utvärdering av ränterisk genom implementering av korträntemodeller: en skuldportfölj under olika räntescenarion

Marklund, Sofie; Sundqvist, Maja

Weather Impact on Energy Consumption For Electric Trucks: Predictive modelling with Machine Learning

Carlsson, Robert; Nordgren, Emrik

A multi-gene symbolic regression approach for predicting LGD: A benchmark comparative study

Tuoremaa, Hanna

Beyond Disruptions: Optimizing Supply Chain Resilience: A qualitative and quantitative analysis of the aftermarket supply chain

Andersson, Sara; Karlsson, Jesper

Classifying Previous Covid-19 Infection: Advanced Logistic Regression Approach

Westerholm, Daniel

Deep Generative Modeling: An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation

Methnani, Shams

Detecting Playing Styles In Swedish Football: A Clustering Approach

Erik, Börgesson

Dynamic Consequences of Bearing Radial Clearance in Jeffcott Rotors

Bohman, Marcus

Economic Capital Models: Methods for fitting loss distributions

Fritzell, William

Effectivisation of keywords extraction process: A supervised binary classification approach of scraped words from company websites

Andersson, Josef; Fremling, Max

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Senast uppdaterad: 2023-03-27