Sökning: "Distance learning"

Visar resultat 26 - 30 av 559 uppsatser innehållade orden Distance learning.

  1. 26. Correlation between Surface and Tumour Motion in Lung Cancer - including Deep Learning Perspectives

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Caisa Kjellström; [2023]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Purpose: The purpose of this master thesis was to retrospectively investigate correlation between surface and tumour motion in lung cancer patients, alongside deep learning applications of the results. Additional correlations such as age, tumour volume and anatomical placement of the tumour were also investigated. LÄS MER

  3. 27. Optic nerve sheath diameter semantic segmentation and feature extraction

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

    Författare :Simone Bonato; [2023]
    Nyckelord :Machine Learning; Computer Vision; Image Segmentation; Medical Imaging; Optic Nerve Sheath Diameter; nnU-Net; Maskininlärning; datorseende; bildsegmentering; medicinsk bildbehandling; optisk nervslidsdiameter; nnU-Net;

    Sammanfattning : Traumatic brain injury (TBI) affects millions of people worldwide, leading to significant mortality and disability rates. Elevated intracranial pressure (ICP) resulting from TBI can cause severe complications and requires early detection to improve patient outcomes. LÄS MER

  4. 28. Evaluating clustering techniques in financial time series

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Johan Millberg; [2023]
    Nyckelord :clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

    Sammanfattning : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. LÄS MER

  5. 29. Comparative Analysis of Machine Learning Algorithms for Biometric Iris Recognition Systems

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Vishnu Kiran Dabbara; Neeraj Bala; [2023]
    Nyckelord :Computing Methodologies; Machine Learning; Neural Networks; Feature Extraction; Biometrics;

    Sammanfattning : Background: Biometric identification plays a crucial role in various industries such as retail, and banking. Among the different biometric traits, iris patterns have become a reliable means of identification due to their unique features. In our thesis, we focus on evaluating and comparing different machine learning algorithms for irisrecognition. LÄS MER

  7. 30. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning

    Kandidat-uppsats, Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

    Författare :Joar Lönngren; Ludwig Tiston; [2023]
    Nyckelord :Machine Learning; Neural Network; Cosmic Dust; Solar Orbiter; Space Physics; Space Dust;

    Sammanfattning : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. LÄS MER