Sökning: "neuralt nätverk"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden neuralt nätverk.

  1. 1. TransRUnet: 2D Detection and Segmentation of Lymphoma Lesions in Full-Body PET-CT Images

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Lasse Stahnke; [2023]
    Nyckelord :Lymphoma; PET-CT; Deep Learning; CNN; Retina U-Net; Feature Pyramid Transformer; Detection; Segmentation; Lymfom; PET-CT; djupinlärning; CNN; Retina U-Net; Feature Pyramid Transformer; detektion; segmentering;

    Sammanfattning : Identification and localization of FDG-avid lymphoma lesions in PET-CT image volumes is of high importance for the diagnosis and monitoring of treatment progress in lymphoma patients. This process is tedious, time-consuming, and error-prone, due to large image volumes and the heterogeneity of lesions. LÄS MER

  3. 2. LaMOSNet: Latent Mean-Opinion-Score Network for Non-intrusive Speech Quality Assessment : Deep Neural Network for MOS Prediction

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

    Författare :Fredrik Cumlin; [2022]
    Nyckelord :Speech naturalness assessment; Speech quality assessment; Mean opinion score; Voice conversion challenge; Semi-supervised learning; Noisy labels.; Naturligt tal bedömning; Ljudkvalitetsbedömning; Medel bedömningsvärdet; Talkonverteringsutmaningen; Semi-övervakad inlärning; Varierande märkningar.;

    Sammanfattning : Objective non-intrusive speech quality assessment aimed to emulate and correlate with human judgement has received more attention over the years. It is a difficult problem due to three reasons: data scarcity, noisy human judgement, and a potential uneven distribution of bias of mean opinion scores (MOS). LÄS MER

  4. 3. Ghosts of Our Past: Neutrino Direction Reconstruction Using Deep Neural Networks

    Kandidat-uppsats, Uppsala universitet/Högenergifysik

    Författare :Sigfrid Stjärnholm; [2021]
    Nyckelord :neutrino; neural network; ICECUBE; AI; convolutional neural network; CNN; askaryan emission; charged current; neutral current; CC; NC; Keras; TensoFlow; neutrino; neuralt nätverk; ICECUBE; AI; askaryan emission; Keras; TensorFlow;

    Sammanfattning : Neutrinos are the perfect cosmic messengers when it comes to investigating the most violent and mysterious astronomical and cosmological events in the Universe. The interaction probability of neutrinos is small, and the flux of high-energy neutrinos decreases quickly with increasing energy. LÄS MER

  5. 4. Investigation of Increased Mapping Quality Generated by a Neural Network for Camera-LiDAR Sensor Fusion

    Master-uppsats, KTH/Mekatronik

    Författare :Joan Li Guisell Correa Silva; Sofia Jönsson; [2021]
    Nyckelord :sensor fusion; error detection; neural network; sources of error; mapping quality; SLAM; sensor fusion; felavkänning; neuralt nätverk; felkällor; kartläggningskvalitet; SLAM;

    Sammanfattning : This study’s aim was to investigate the mapping part of Simultaneous Localisation And Mapping (SLAM) in indoor environments containing error sources relevant to two types of sensors. The sensors used were an Intel Realsense depth camera and an RPlidar Light Detection AndRanging (LiDAR). LÄS MER

  7. 5. Content-aware Video Compression

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

    Författare :Vivek Subramanian; [2019]
    Nyckelord :region-of-interest; saliency map; bitrate; H.264; video com­pression; quantization offset;

    Sammanfattning : In a video there are certain regions in the image that viewers focus on more than others, which are called the salient regions or Regions­Of-Interest (ROI). This thesis aims to improve the perceived quality of videos by improving the quality of these ROis while degrading the quality of the other non-ROI regions of a frame to keep the same bitrate as would have been the case otherwise. LÄS MER