Sökning: "network diagnostics"

Visar resultat 1 - 5 av 49 uppsatser innehållade orden network diagnostics.

  1. 1. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomi

    Författare :Harald Agelii; [2023]
    Nyckelord :Structural biology; Machine learning; Neural networks; emission spectrum; XFEL; X-ray free electron laser; SFX; Serial femtosecond X-ray crystallography; Proteins; Diagnostics;

    Sammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER

  3. 2. Simulating metal ct artefacts for ground truth generation in deep learning.

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Arthur Barakat; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER

  4. 3. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

    Master-uppsats, KTH/Fysik

    Författare :Jeanette Marie Victoria Skeppland Hole; [2023]
    Nyckelord :ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

    Sammanfattning : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). LÄS MER

  5. 4. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification

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

    Författare :Thomas Eriksson Mueller; Viktor Fornstad; [2023]
    Nyckelord :Machine Learning; Feature Selection; Melanoma; Computer Aided Diagnosis; Bachelor Thesis; Maskininlärning; Attributurval; Melanom; Datorstödd Diagnostik; Kandidatarbete;

    Sammanfattning : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. LÄS MER

  7. 5. Infrared and Visible Image Fusion with an Unsupervised Network

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Matilda Granqvist; [2023]
    Nyckelord :Machine learning; Image processing; Image fusion; CNN;

    Sammanfattning : Image fusion is a technique that aims to combine semantic information from different source images into a new synthesized image that contains information from both source images. It is a technique that can be useful in many different areas, such as reconnaissance, surveillance and medical diagnostics. LÄS MER