Sökning: "semantic feature analysis"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden semantic feature analysis.

  1. 1. 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

  3. 2. The authenticity of Swedish Craft Gin : A multimodal analysis of marketing of Swedish Craft Gin for international audiences

    Kandidat-uppsats, Örebro universitet/Institutionen för humaniora, utbildnings- och samhällsvetenskap

    Författare :Anton Freij; [2022]
    Nyckelord :Swedish Craft Gin · Culture · MCDA · Multimodality · Authenticity ·Locality;

    Sammanfattning : This thesis aims to investigate how Swedish Companies can appropriate products that have strong cultural connections towards other nations or cultures and reintroduce them onto an international market in an authentic way, with emphasis on their Swedish locality. To do this, the study used the booming market of Swedish Craft Gin Distilleries. LÄS MER

  4. 3. The World in 3D : Geospatial Segmentation and Reconstruction

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :David Robín Karlsson; [2022]
    Nyckelord :deep learning; ai; machine learning; geospatial; gis; heightmap; semantic segmentation; satellite imagery; aerial imagery;

    Sammanfattning : Deep learning has proven a powerful tool for image analysis during the past two decades. With the rise of high resolution overhead imagery, an opportunity for automatic geospatial 3D-recreation has presented itself. This master thesis researches the possibil- ity of 3D-recreation through deep learning based image analysis of overhead imagery. LÄS MER

  5. 4. Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Oskar Keding; David Ohlin; [2021]
    Nyckelord :Machine Learning; machine; learning; neural; network; statistics; EEG; emotion; semantic; emotional; signal; processing; reassignment; time-frequency; spectrogram; brain processing; bci; CNN; convolutional; Mathematics and Statistics;

    Sammanfattning : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. LÄS MER

  7. 5. Evidensbaserad intervention vid nedsatt läsförmåga och läsförståelse vid afasi : En litteraturöversikt

    Magister-uppsats, Uppsala universitet/Blom Johansson: Logopedi

    Författare :Emelie Carlstedt; Stina Emaus; [2021]
    Nyckelord :aphasia; alexia; therapy; reading; stroke; afasi; stroke; behandlingsmetod; läsförståelse; läsförmåga; språklig träning; logoped; evidens; alexi; förvärvad dyslexi.;

    Sammanfattning : The effect of aphasia varies across patients and consequently their rehabilitation needs may differ. Access to participation in today’s information society requires good reading skills and this should be considered in a patient's rehabilitation plan. LÄS MER