Selaus koulutusohjelman mukaan kokoelmassa VäitöskirjatSchool of Engineering Science, Laskennallinen tekniikka
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Adaptive binning and spatial profile partial least squares methods in scanning electron microscopy energy-dispersive X-ray spectroscopy and satellite hyperspectral pansharpening
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 12.12.2023)Pansharpening is a data fusion method for image data. Traditionally, images from satellite remote sensing are fused, with one image having a high spatial resolution, but a low spectral one, and the other image vice versa. ... -
Advanced Techniques for Unsupervised Classification of Remote Sensing Hyperspectral Images
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 20.05.2019)Hyperspectral images consisting of a broad range of contiguous spectral bands ought to be a valuable tool for land cover type mapping. However, the coarse spatial resolutions of remote sensing Hyperspectral images makes a ... -
Anomaly detection for the visual inspection of industrial and biological data
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 04.11.2024)Automated visual inspection embodies a markedly significant discipline across diverse technical fields, featuring a potential to retrieve a high amount of information from a single image and to process multiple images ... -
Atmospheric boundary-layer characteristics and their significance in wind energy and urban air quality assessment
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 03.11.2023)The study of the Atmospheric Boundary-Layer (ABL) flow is growing rapidly, owing to its crucial role in promoting environmental sustainability and facilitating renewable energy development. The significance of ABL modeling ... -
Atomic Force Microscopy of electrical, mechanical and piezo properties of nanowires
Acta Universitatis Lappeenrantaensis (Lappeenranta University of Technology, 07.12.2018)Careful methodology of Atomic Force Microscopy (AFM) regimes was developed for advanced examination of electrical transport, mechanical strength and electro-mechanical (piezoelectric) features of as-grown III-V semiconductor ... -
Automatic image-based re-identification of ringed seals
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 19.08.2022)Automated wildlife re-identification has attracted increasing attention in recent years as it provides a non-invasive tool to identify and track individual wild animals over time. Animal re-identification, together with ... -
Bayesian inference by informative Gaussian features of the data
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 05.02.2021)Given a set of measurements, a model can be calibrated to data by minimising a cost function that captures the model-data difference. The standard cost function for deterministic models is the residual sum of squares between ... -
Bayesian likelihoods for intractable data
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 01.12.2023)We live in the Information Age, specific historical moment in which making well-informed decisions is often decisive for the survival of projects and investments. In the past decade, consistent efforts have been dedicated ... -
Bayesian optimal experimental design in inverse problems: applications and stability
Acta Universitatis Lappeenrantaensis : 1193 (Lappeenranta-Lahti University of Technology LUT, 11.04.2025)The focus of this thesis is in the area of Bayesian D-Optimal Experimental Design (DOED) for Bayesian inverse problems. Here, we introduce some theoretical results of stability and applied some standard numerical algorithms ... -
CFD-based optimization for wind turbine locations in a wind park
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 10.05.2019)Searching for the optimal positions of wind turbines in a wind farm for their maximal power generation has an important and difficult role in the wind energy industry. Several factors have to be considered while designing ... -
Coherent anti-Stokes Raman scattering spectromicroscopy in biomedical and climate research
Acta Universitatis Lappeenrantaensis : 1017 (Lappeenranta-Lahti University of Technology LUT, 24.02.2022)Coherent anti-Stokes Raman scattering spectromicroscopy (CARS SM) is a powerful label-free technique based on intrinsic molecular contrast from nuclear vibrations that provides detailed information on the chemical composition ... -
Compositional modification for process improvement of laser powder bed fusion of Ni–Mn–Ga-based magnetic shape memory alloys
Acta Universitatis Lappeenrantaensis : 1173 (Lappeenranta-Lahti University of Technology LUT, 13.12.2024)Due to twin boundary (TB) motion, magnetic shape memory (MSM) alloys based on Ni-Mn-Ga have the potential to generate reversible magnetic field-induced strains (MFIS) of up to 11%. Grain boundary defects in polycrystalline ... -
Computer Vision for Virtual Sawing and Timber Tracing
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 16.08.2022)Process optimisation in the sawmill industry is, as in other major industries, an ongoing endeavour that aims to derive maximum benefit from advancements in measurement technology and process control. Raw material undergoes ... -
Data-centric remedies for challenges in computer vision applications : insights from active learning, deep generative models, and explainable AI
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 31.05.2024)Machine learning in the form of deep neural networks is widely applied in various contexts including computer vision. The robustness of these models relies heavily on the quality of data used for training them. Consequently, ... -
Data-driven procedures for environmental portable and remote spectral sensing
Acta Universitatis Lappeenrantaensis : 1190 (Lappeenranta-Lahti University of Technology LUT, 29.01.2025)The significance of in situ environmental monitoring is increasing due to climate change. Recent advancements in portable spectrometers, the widespread availability of digital imagery, and the high-resolution capabilities ... -
Deep Bayesian approach to eye fundus image segmentation
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 09.12.2021)Eye diseases cause different retinal abnormalities that can be detected and diagnosed by examining eye fundus images. Due to the rapidly growing amount of data, there is a need for methods that are able to produce meaningful ... -
Deep learning for extracting Raman signal from coherent anti-Stokes Raman scattering spectrum
Acta Universitatis Lappeenrantaensis : 1180 (Lappeenranta-Lahti University of Technology LUT, 12.12.2024)Coherent anti-Stokes Raman scattering (CARS) microscopy has been shown to be very successful in various applications such as biomedical imaging, cell biology, and material science. One challenge in extracting the Raman ... -
Development of hybrid microdevices composed of Ni-Mn-Ga and silicon layers: fabrication and metrology
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 11.12.2023)Extensive research and development efforts have established Ni-Mn- Ga as a promising smart material. However, its practical applications as a sensing and actuating material still need to be improved. Several challenges ... -
Flexible priors for rough feature reconstruction in Bayesian inversion
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 04.10.2024)Inverse problems arise when the quantity of interest needs to be reconstructed from its noisy indirect measurements. Numerous examples of inverse problems include remote sensing, weather prediction, and medical imaging. ... -
Heuristic similarity- and distance-based supervised feature selection methods
Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 16.12.2019)In the field of machine learning, the available data often contain many features to describe phenomena. This can pose a problem since only those features that are relevant to characterize the target concept are needed, ...
