Sökning: "Network Representation"

Visar resultat 1 - 5 av 313 uppsatser innehållade orden Network Representation.

  1. 1. Identifying Graph Characteristics in Growing Vascular Networks

    Master-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskap

    Författare :Christopher Finn Plummer; [2024]
    Nyckelord :Anigogenesis; Vascular Networks; Network Science;

    Sammanfattning : One of the ways that a vascular network grows is through the process of angiogenesis, wherebya new blood vessel forms as a branch from an existing vessel towards an area which isstimulating vascular growth. Due to the demands for nutrients and waste transport, growingtumour cells will access the surrounding vascular network by inducing angiogenesis. LÄS MER

  3. 2. Den digitala tidsålderns Hermes: Sociala medierplattformar och dess inverkan på reflexiv kontroll

    Kandidat-uppsats, Lunds universitet/Statsvetenskapliga institutionen

    Författare :Emelie Markianos; [2024]
    Nyckelord :Reflexive control; social media platforms; Facebook; TikTok; communication; influence operations; Law and Political Science;

    Sammanfattning : This thesis has examined how reflexive messages can be influenced by embedded functions on social media platforms. The purpose of the study has been to understand if, and how social media platforms can facilitate various kinds of reflexive control through their embedded functions. LÄS MER

  4. 3. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Erica Ingerstad; Liv Kåreborn; [2024]
    Nyckelord :NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

    Sammanfattning : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. LÄS MER

  5. 4. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Författare :Kobe Moerman; [2023]
    Nyckelord :3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER

  7. 5. Detection of insurance fraud using NLP and ML

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Rasmus Bäcklund; Hampus Öhman; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. LÄS MER