Search for dissertations about: "Histogram"

Showing result 1 - 5 of 54 swedish dissertations containing the word Histogram.

  1. 1. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks

    Author : Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Niklas Lavesson; Stockholms universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Histogram data; random forest; NOx sensor failure; random forest interpretation; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Data mining and machine learning algorithms are trained on large datasets to find useful hidden patterns. These patterns can help to gain new insights and make accurate predictions. Usually, the training data is structured in a tabular format, where the rows represent the training instances and the columns represent the features of these instances. READ MORE

  2. 2. Learning Decision Trees and Random Forests from Histogram Data : An application to component failure prediction for heavy duty trucks

    Author : Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Stockholms universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; histogram decision trees; histogram random forest; prognostics; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : A large volume of data has become commonplace in many domains these days. Machine learning algorithms can be trained to look for any useful hidden patterns in such data. Sometimes, these big data might need to be summarized to make them into a manageable size, for example by using histograms, for various reasons. READ MORE

  3. 3. Discrete Scale-Space Theory and the Scale-Space Primal Sketch

    Author : Tony Lindeberg; Jan-Olof Eklundh; Jan. J Koenderink; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer vision; low-level processing; scale-space; diffusion; Gaussian filtering; discrete smoothing; primal sketch; segmentation; descriptive elements; scale detection; image structure; focus-of-attention; tuning low-level processing; blob detection; edge detection; edge focusing; histogram analysis; junction classification; perceptual grouping; texture analysis; critical points; classification of blob events; bifurcations; drift velocity; density of local extrema; multi-scale representation; digital signal processing; Computer Science; Datalogi;

    Abstract : This thesis, within the subfield of computer science known as computer vision, deals with the use of scale-space analysis in early low-level processing of visual information. The main contributions comprise the following five subjects:The formulation of a scale-space theory for discrete signals. READ MORE

  4. 4. Applications of diffusion MRI: Tensor-valued encoding, time-dependent diffusion, and histological validation

    Author : Jan Brabec; Lund Medicinsk strålningsfysik; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; diffusion MRI; meningioma; glioma; brain tumors; intracranial tumors; undulations; restricted diffusion; time dependence; spherical b-tensor encoding; linear b-tensor encoding; histogram analysis; anisotropic kurtosis; isotropic kurtosis; hyperintensity; conspicuity; white matter; detection; diffusion spectrum; consistency; type; grade; axon diameter; axonal trajectories; Fysicumarkivet A:2022:Brabec;

    Abstract : Diffusion MRI (dMRI) sensitizes the MR signal to the diffusion of water molecules at the microscopic level and thereby non-invasively probes tissue microstructure. This is relevant when determining biological properties of tissues, for example, cancer type and its malignancy. READ MORE

  5. 5. Image and Data Analysis for Biomedical Quantitative Microscopy

    Author : Damian J. Matuszewski; Ida-Maria Sintorn; Carolina Wählby; Peter Horvath; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; high-content screening; drug selection; DNA content histogram; manual image annotation; deep learning; convolutional neural networks; hardware integration; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-based research and diagnosis. New technologies and computational tools are necessary for handling the ever-growing amounts of data produced in life science. READ MORE