Selaus koulutusohjelman mukaan kokoelmassa VäitöskirjatSchool of Engineering Science, Laskennallinen tekniikka

    • Advanced Techniques for Unsupervised Classification of Remote Sensing Hyperspectral Images 

      Hassanzadeh, Aidin
      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 ...
    • Atomic Force Microscopy of electrical, mechanical and piezo properties of nanowires 

      Geydt, Pavel
      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 ...
    • CFD-based optimization for wind turbine locations in a wind park 

      Avramenko, Anna
      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 ...
    • Heuristic similarity- and distance-based supervised feature selection methods 

      Lohrmann, Christoph
      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, ...
    • Moving Object Analysis and Trajectory Processing with Applications in Human-Computer Interaction and Chemical Processes 

      Kuronen, Toni
      Acta Universitatis Lappeenrantaensis (Lappeenranta University of Technology, 13.12.2018)
      In order to better understand processes with moving objects using computer vision, it is important to be able to measure and to analyze how the objects move. The recent advances in imaging technology and in image-based ...
    • Ni-Mn-Ga magnetic shape memory alloy for precise high-speed actuation in micro-magneto-mechanical-systems 

      Musiienko, Denys
      Acta Universitatis Lappeenrantaensis (Lappeenranta University of Technology, 17.01.2019)
      Single crystalline Ni-Mn-Ga alloys are known for their large reversible magnetic-field-induced strain (MFIS) of several percent. This effect was discovered and named magnetic shape memory (MSM) by K. Ullakko in 1996. Since ...
    • Segmentation of Partially Overlapping Convex Objects in Silhouette Images 

      Zafari, Sahar
      Acta Universitatis Lappeenrantaensis (Lappeenranta University of Technology, 29.11.2018)
      Overlapping objects segmentation is of great importance for the automatic analysis in many industrial and biomedical applications. For example, in industrial applications characteristics of nanoparticles by shape and size ...
    • The linguistic approximation of fuzzy models outputs 

      Talásek, Tomás
      Acta Universitatis Lappeenrantaensis (Lappeenranta-Lahti University of Technology LUT, 29.11.2019)
      Linguistic approximation is a process of assigning linguistic labels to various mathematical objects, frequently ones that are obtained as outputs of fuzzy models. Such an assignment cannot be arbitrary – the usual requirement ...
    • Twin boundary dynamics in magnetic shape memory alloy Ni-Mn-Ga five-layered modulated martensite 

      Saren, Andrey
      Acta Universitatis Lappeenrantaensis (Lappeenranta University of Technology, 10.12.2018)
      Ni-Mn-Ga magnetic shape memory (MSM) alloys are considered to be highly promising materials for actuation, damping, sensing and energy harvesting applications, due to the unique combination of a large transformation strain ...