Sökning: "uppsats segmentering"

Visar resultat 1 - 5 av 71 uppsatser innehållade orden uppsats segmentering.

  1. 1. Hur AI-tjänster för kundupplevelser i organisationer kan skapa nytta : en intervjustudie

    Kandidat-uppsats, Karlstads universitet/Handelshögskolan (from 2013)

    Författare :Hasanein Al Yassiri; [2023]
    Nyckelord :AI; CX; AI CX; artificiell intelligens; AI-investeringar; kundupplevelse; affärsnytta; verksamhetsnytta;

    Sammanfattning : Abstract Organisationer investerar numera i artificiell intelligens inom området kundupplevelser, så kallat customer experience, CX. CX är kundernas eller användarnas holistiska uppfattning av ett företag, organisation eller varumärke under hela kundresan, som omfattar planering av köp, genomförande av köp och upplevelsen efter ett köp, i synnerhet kundens köpresa. LÄS MER

  3. 2. Segmentation of Neuronal Cells Using Simplistic Methods : A Comparison of the Mean Shift Algorithm and Otsu’s Method

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alex Gunnarsson; Filip Karlsson; [2023]
    Nyckelord :;

    Sammanfattning : Information regarding specific neuronal characteristics, such as shape and distribution, is essential for quantifying the brain structure and modelling accurate computer simulations. To this end, it is important to perform cell segmentation; to isolate the cells in a given image from the surrounding tissue, so it can be further analysed. LÄS MER

  4. 3. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Daniel Workinn; [2023]
    Nyckelord :Change point detection; Time series data; Segmentation; Machine learning; Data mining; Detektion av brytpunkter; Tidsseriedata; Segmentering; Maskininlärning; Datautvinning;

    Sammanfattning : This thesis addresses the optimization of the Variational Autoencoder-based Change Point Detection (VAE-CP) approach in time series analysis, a vital component in data-driven decision making. We evaluate the impact of various distance metrics and hyperparameters on the model’s performance using a systematic exploration and robustness testing on diverse real-world datasets. LÄS MER

  5. 4. Self-supervised pre-training of an attention-based model for 3D medical image segmentation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Albert Sund Aillet; [2023]
    Nyckelord :Computer vision; Deep learning; 3D Medical image segmentation; Self-supervised learning; Datorseende; Djupinlärning; 3D Medicinsk bildsegmentering; Självövervakad träning;

    Sammanfattning : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. LÄS MER

  7. 5. Camera ISP optimization for computer vision tasks performed by deep neural networks

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Zhenghong Xiao; [2023]
    Nyckelord :Computer Vision; Image Signal Processing; DNN; Datorseende; bildsignalbehandling; DNN;

    Sammanfattning : This thesis aims to improve the performance of Deep Neural Networkss (DNNs) in Computer Vision tasks by optimizing the Image Signal Processor (ISP) parameters. The research investigates the use of simulated RAW images and the application of the DRL-ISP (Deep Reinforcement Learning for Image Signal Processor) method to enhance the accuracy and robustness of DNNs. LÄS MER