Sökning: "Mathematics and Statistics"

Visar resultat 1 - 5 av 1049 uppsatser innehållade orden Mathematics and Statistics.

  1. 1. Preoperative prediction of sentinel nodal status using mammography images

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Malin Hjärtström; Maren Høibø; [2021]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common cancer among women in Sweden, accounting for approximately 30 % of the cancer cases. The overall prognosis is good, but worsens if the cancer metastasizes from the primary tumor. LÄS MER

  2. 2. Classification of EEG Data Using Convolutional Neural Networks and the Scaled Reassigned Spectrogram

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Karin Pagels; [2021]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Electroencephalography (EEG) is a medical technique for measuring brain activity through several channels connected to the scalp. Interpreting EEG data is a difficult problem because of the large amount of noise contained in the data. LÄS MER

  3. 3. Hierarchical Clustering To Improve Portfolio Tail Risk Characteristics

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Adam Eidenvall; [2021]
    Nyckelord :Hierarchical Clustering; Asset Allocation; Portfolio Construction; Graph Theory; Machine Learning; Risk Parity; Regime Shift; Bootstrapping; Walk Forward; Mathematics and Statistics;

    Sammanfattning : Many agree that estimating portfolio risks has better estimation possibilities, than estimations on returns. Therefore investors attempts to construct better, more efficient riskmanaged portfolios by diversifying portfolios through factors rather than traditional asset classes. LÄS MER

  4. 4. Generative Adversarial Networks in Lip-Synchronized Deepfakes for Personalized Video Messages

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Johan Liljegren; Pontus Nordqvist; [2021]
    Nyckelord :Generative Adversarial Networks; GAN; Lip-Synchronization; Deepfake; Deep Learning; Autoencoder; WGAN; WGAN-GP; L1WGAN-GP; Skip-Connections; FID-Score; Mathematics and Statistics; Technology and Engineering;

    Sammanfattning : The recent progress of deep learning has enabled more powerful frameworks to create good-quality deepfakes. Deepfakes, which are mostly known for malicious purposes, have great potential to be useful in areas such as the movie industry, education, and personalized messaging. LÄS MER

  5. 5. Classifying Heart Rate Variability Data using Multitaper Spectrum Analysis

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Heidi Mach; [2021]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Heart rate variability (HRV) is the variation between two consecutive heartbeats. The irregular variability in this interval can indicate different health issues such as stress. The goal of this project is to correctly classify if a HRV signal comes from a resting state or a state which is affected by stress related stimuli. LÄS MER