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Filter method for feature selection using fuzziness index number with fuzzy k-nearest neighbor classifier
(2020)
The extensive data sets of real-world contain high-dimensional information; among them, some may hold irrelevant information that complicates the data set. Feature selection is regarded as a useful data preprocessing ...
Effect of humidity on electric potential of SnO2 film investigated by Kelvin probe force microscopy
(2020)
In this study hygroelectric behaviour of an SnO2 sample was studied using Kelvin probe force microscopy (KPFM) and humidity controlling equipment. The objective was to detect any possible surface potential changes within ...
Learned image reconstruction in X-ray computed tomography
(2020)
The basic idea behind X-ray computed tomography (CT) is, given the change in the intensities of X-ray beams passing through a target object, to reconstruct the image of the object's density that is characterized by the ...
Image clustering for unsupervised analysis of plankton data
(2020)
Advancements in automated imaging has made it possible to enhance the data both in terms of quantity and quality. This has prompted the development of plankton imaging systems for acquiring the species level information ...
Characterisation of low gain avalanche detectors for the CMS experiment
(2020)
The aim of this thesis was to measure the current-voltage and capacitance-voltage characteristics of the latest batch of Ultra-Fast Silicon Detectors produced by Fondazione Bruno Kessler and evaluate the parameters of the ...
Bayesian optimal design in X-ray tomography
(2020)
This thesis focuses on Bayesian optimal design and its applications to X-ray tomography. X-ray tomography is a well-known setting where X-rays are projected at an object. X-ray intensity data is recorded on the other side ...
Unsupervised profiling of electricity consumers for load forecasting applications
(2020)
Electric power suppliers are typically interested in profiling their customers. Different
consumer categories or load profiles can give insight into behavior which affects the power grid and facilitate load forecasting ...
Numerical analysis of the wind forces acting on cruise ships
(2020)
Wind loads acting on cruise ships play a significant role in navigation and manoeuvrability during the harbour approaching. From the environmental point of view, their fuel efficiency and emissions are in the center of ...
Properties of exchange interactions in magnetic semiconductors
(Lappeenranta-Lahti University of Technology LUT, 2020-12-02)
This dissertation is devoted to the investigation of magnetic properties of nanostructures with magnetic impurities. The properties of electron spin relaxation in magnetically doped quantum well was investigated. It has ...
Semi-supervised learning for plankton image classification
(2020)
The production of big data from plankton populations has become feasible with the use of imaging devices. This opens up the possibility of testing key characteristics in planktonic systems. The manual labeling of images ...