Sökning: "stödvektormaskiner"

Hittade 2 avhandlingar innehållade ordet stödvektormaskiner.

  1. 1. Computational and spatial analyses of rooftops for urban solar energy planning

    Författare :Mohammad Aslani; Stefan Seipel; S. Anders Brandt; Julia Åhlén; Alison Jane Heppenstall; Högskolan i Gävle; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Classification; Segmentation; Support vector machines; Instance selection; Rooftop plane segmentation; Photovoltaic panels; Utiliz-able rooftop areas; Geoinformatics; maskininlärning; klassificering; segmentering; stödvektormaskiner; urval av träningsdata; segmentering av takytor; solcellspaneler; utnyttjande av takytor; geoinformatik; Hållbar stadsutveckling; Sustainable Urban Development;

    Sammanfattning : In cities where land availability is limited, rooftop photovoltaic panels (RPVs) offer high potential for satisfying concentrated urban energy demand by using only rooftop areas. However, accurate estimation of RPVs potential in relation to their spatial distribution is indispensable for successful energy planning. LÄS MER

  3. 2. Earth Observation based Monitoring of Urbanizationand Environmental Impact in Kigali, Rwanda

    Författare :Theodomir Mugiraneza; Yifang Ban; Jan Haas; Emmanuel Twarabamenye; Constantinos Cartalis; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Earth observation; Landsat; Sentinel-2; WorldView-2; Urbanization; Land cover classification; Support vector machines; Random forest; U-Net; LandTrendr; Landscape metrics; Ecosystem services; Environmental impact analysis; Kigali; Rwanda; Jordobservation; Landsat; Sentinel-2 MSI; WorldView-2; Urbanisering; Klassificering av marktäcke; Stödvektormaskiner; Slumpmässig skog; U-Net; LandTrendr; Landskapsmetriker; Ekosystemtjänster; Miljökon- sekvensanalys; Kigali; Rwanda.; Geoinformatics; Geoinformatik;

    Sammanfattning : Urbanization is one of the great challenges in the 21st century. Despite being an engine for the global economy, urban areas consume 78% of World's energy and emit more than 60% of greenhouse gas emission. Sub-SaharanAfrican cities, e.g. LÄS MER