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Similarity measurements for rapakivi granite using soft independent modelling of class analogy and metric learning
(2022)
Rapakivi granite from south-eastern Finland has been used in many buildings in the historic centre of Saint Petersburg, Russia. Due to weathering and breakdown, the building stones will need to be replaced from time to ...
Analysis of factors affecting the development of liquidity and its forecast with hierarchical clustering on principal components
(2021)
In order to get a glimpse of the current state of the companies on a broader level, the development of liquidity and the difference between the cash flow forecast and its realized values were examined to find possible ...
A comparative analysis of object tracking methods
(2023)
Multiple object tracking consists of tracking several targets simultaneously.
This thesis focuses on demonstrating the effectiveness of random finite set-based methods in object tracking, considering both single-object ...
Eri toimialan yritysten omaisuus- ja toiminnan keskeytys -suurvahinkojen estimointi Pareto-jakauman avulla
(2023)
Jälleenvakuuttaminen ja vakuutettujen kohteiden riskien arviointi on perusta vakuutusyhtiöiden kannattavalle liiketoiminnalle. Tämän diplomityön tavoitteena on selvittää, kuinka eri toimialat eroavat toisistaan vakuutusriskien ...
Image denoising with GPU accelerated Gibbs sampling
(2023)
While Gibbs sampling based image denoising methods have been proven to produce results comparable even to the state-of-the-art methods, Gibbs sampling based methods are slow to execute by their basic construction. This ...
Breast cancer diagnostic using machine learning : applying supervised learning techniques to Coimbra and Wisconsin datasets
(2023)
Breast cancer poses a significant global health concern, with approximately 2.2 million new cases and 700,000 deaths reported in 2020. Traditional diagnostic approaches which predominantly depend on expert judgement, have ...
Segmenting knots in X-ray CT scans of logs
(2023)
The main objective of this thesis is to solve the problem of segmenting wood knots within and on the surface of wood logs by using three-dimensional (3-D) image data of wood logs obtained from X-ray Computerized Tomography ...
Estimating glue-layer defects on plywood through computer vision methods
(2023)
Making quality film-faced plywood is a vital issue for the manufacturer as it decides the quality of the end product made from this film-faced plywood. Detecting defects on the applied glue which is used to stick the films ...
Predicting late payment of sales invoices with statistical learning methods
(2023)
Predicting the time at which a company is bound to receive money from their outstanding sales invoices is a part of cash flow forecasting, which helps companies make better financial decisions. This study explores the ...
Optimization of Signal-to-Noise Ratio for Fine Aerosol LIBS
(2023)
This thesis focuses on the optimization of the Signal-to-Noise Ratio (SNR) for fine aerosol Laser-Induced Breakdown Spectroscopy (LIBS). The objective is to investigate the impact of particle diameter and energy levels ...