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Visar resultat 1 - 5 av 31 avhandlingar som matchar ovanstående sökkriterier.

  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

  2. 2. Strategies for demand-driven supply chains : A decoupling thinking perspective

    Författare :Fredrik Tiedemann; Joakim Wikner; Eva Johansson; Jenny Bäckstrand; Jönköping University; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; demand driven; decoupling points; decoupling thinking; lead time; supply chain management; operations management; market segmentation; leagility; mass customization; supply chain visibility; postponement; financial performance; efterfrågedrivet; frikopplingspunkter; frikopplingstänkandet; ledtid; logistik; verksamhetsledning; segmentering; leagility; kundanpassning; transparens; senareläggning; räntabilitet;

    Sammanfattning : In environments where customer requirements are constantly changing, such as for demand-driven manufacturing companies, the competition involves the ability to act and adapt to customer needs, sometimes even based on commitment from actual customer orders. In this context it is perhaps even more challenging to balance supply and demand. LÄS MER

  3. 3. Deep Learning for Wildfire Progression Monitoring Using SAR and Optical Satellite Image Time Series

    Författare :Puzhao Zhang; Yifang Ban; Lorenzo Burzzone; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Remote Sensing; Deep Learning; Wildfire; Burned Area Mapping; Synthetic Aperture Radar; Change Detection; Segmentation; Optical and Radar Image Analysis; Sentinel-1; Sentinel-2; fjärranalys; djup inlärning; skogsbrand; kartläggning av brända områden; Synthetic Aperture Radar; upptäckt av förändringar; segmentering; analys av optiska och radarbilder; Sentinel-1; Sentinel-2; Geoinformatik; Geoinformatics;

    Sammanfattning : Wildfires have coexisted with human societies for more than 350 million years, always playing an important role in affecting the Earth's surface and climate. Across the globe, wildfires are becoming larger, more frequent, and longer-duration, and tend to be more destructive both in lives lost and economic costs, because of climate change and human activities. LÄS MER

  4. 4. Interna arbetsmarknader, ekonomisk segmentering och social skiktning : en studie av arbetslivsstrukturer, anställningsstabilitet och löneskillnader

    Författare :Carl le Grand; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES;

    Sammanfattning : .... LÄS MER

  5. 5. Analysis of Medical Images : Registration, Segmentation and Classification

    Författare :Matilda Landgren; Mathematical Imaging Group; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : A large number of medical examinations involve images in some way. Images can be used for diagnostics, follow-up studies and treatment planning. In this thesis mathematical methods have been developed and adapted in order to analyze medical images. LÄS MER