Selaus koulutusohjelman mukaan kokoelmassa Diplomityöt ja Pro gradu tutkielmatSchool of Engineering Science, Laskennallinen tekniikka
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A risk model with renewal shotnoise Cox process
(2019)Catastrophic events may lead to sudden changes in the claim arrival rate and as a result it is difficult to predict the likelihood for the occurrence of these events. These random fluctuation cannot be modeled as a homogeneous ... 
Additive manufacturing of medications and static light scattering analysis of mesoporous structures
(2019)The main focus of the project was on the development of a method for threedimensional printing of matrixes of drug carriers. For implementation, a wide instruction was applied, because for the solution of problems it was ... 
AFM investigation of the influence of relative humidity on the electrical potential of tin oxide films
(2021)The influence of the relative humidity (RH) of the air on the electric potential of the materials' surfaces was investigated. Nickeldoped tin dioxide films were synthesized by magnetron sputtering in argon plasma. Atomic ... 
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 ... 
Analysis of survey data by numerical modelling
(2020)Analysing survey data poses a challenge of often being based on human feelings, which cannot be measured by objective numerical values. The Finnish Institute of Occupational Health has formulated a survey to measure the ... 
Assessment of statistical relationship between cloud indices and relative photovoltaic (PV) production data
(2019)The primary need and necessity for survival is energy. Currently, mankind's reliance primarily on fossils fuels which are nonrenewable and rapidly depleting. Furthermore, the emission of greenhouse gases from these finite ... 
Backward stochastic differential equations with applications
(2018)In this thesis we study backward stochastic differential equations driven by a Brownian motion and by a Levy process and their applications, focusing on their applications to financial markets. We give results on the ... 
Bayesian optimal design in Xray tomography
(2020)This thesis focuses on Bayesian optimal design and its applications to Xray tomography. Xray tomography is a wellknown setting where Xrays are projected at an object. Xray intensity data is recorded on the other side ... 
Bayesian parameter estimation with applications to extreme ocean waves
(2020)Sea state observations decomposed into a wave spectrum model is one direct way of monitoring ocean dynamics with the aid of statistical methods. The frequentist and Bayesian methods play prominent roles in estimating the ... 
Characterisation of low gain avalanche detectors for the CMS experiment
(2020)The aim of this thesis was to measure the currentvoltage and capacitancevoltage characteristics of the latest batch of UltraFast Silicon Detectors produced by Fondazione Bruno Kessler and evaluate the parameters of the ... 
Characterization and testing of novel single core phosphate fibers
(2019)This work is devoted to the study of novel optical fibers doped with Er3+ ions. Fibers were drawn from the phosphate glasses with different compositions. One of the optical fibers was drawn from a heattreated preform in ... 
Characterization of irradiated and nonirradiated Low Gain Avalanche Detectors (LGADs)
(2021)The objective of this work was to characterize the radiation hardness of the Fondazione Bruno Kessler (FBK) UltraFast Silicon Detectors (UFSD) UFSD3.2 batch by comparing their capacitancevoltage characteristics before ... 
Clustering and prediction with a Gaussian process mixture model
(2021)Gaussian processes provide a powerful Bayesian approach to many machine learning tasks. Unfortunately, their application has been limited by the cubic computational complexity of inference. Mixtures of Gaussian processes ... 
Clustering electricity consumption data to identify optimal electricity contracts
(2020)This thesis is aimed to study development of electricity consumption trends, cluster historical consumption time series and aim to determine optimal price contract for both individual clusters and customers. First main ... 
CNNbased ringed seal pelage pattern extraction
(2020)The topic of this thesis is inspired by the conservation efforts of Saimaa ringed seals, which are in danger of becoming extinct with no appropriate actions. The work aims to develop a fur pattern extraction framework to ... 
Comparing numerical methods for solving the Fisher equation
(2020)This thesis provides a comparison of results from Finite Difference Methods, pdepe solver and the Method of Lines when solving the Fisher equation and the heat equation. We study the Fisher equation, which is an example ... 
Comparison of two modeling methods to describe the light emission from IIIV nanowires
(2019)This work contains information about two different approaches to model the emission of radiation from semiconductor nanowires. Modeling part was performed with the COMSOL Multiphysics software to solve Maxwell’s equations ... 
Constitutive modeling of hyperelastic fibrous material
(2018)This thesis will concentrate on the deformation of bodies from incompressible and compressible materials. The analysis is based on several approaches, the first approach is an analytical way. Here we will plan to consider ... 
Deep forecasting of electricity consumption and production
(2020)Buildings stock represented 41% of the final European energy consumption in 2016. It is, therefore, critical to improve their energy efficiency. Forecasting the electricity consumption of buildings would help users in ... 
Deep forecasting of renewable energy production with numerical weather predictions
(2021)Renewable energy is used in many countries with numerous health, environmental and economic benefits. Forecasting renewable energy production helps to predict future energy produced in order to achieve demand and supply ...