Sökning: "spatial förmåga"

Visar resultat 11 - 15 av 86 uppsatser innehållade orden spatial förmåga.

  1. 11. Environmental factors affecting European spruce bark beetle (Ips typographus) outbreaks in Sweden : Linking AI-detected dead spruce, soil moisture, nature protection and bark beetle outbreak (Ips typographus) in Sweden

    Master-uppsats, Karlstads universitet

    Författare :Petter Hessle; [2023]
    Nyckelord :Ips typographus; Biology; forest; Norway spruce; Picea abies; European spruce bark beetle; Ecology; outbreak; Ai; Sweden; Biologi; ekologi; skog; Granbarkborre; gran; Ai; utbrott; naturvård; Ips typographus; sverige;

    Sammanfattning : Norway spruce (Picea abies) is a vital tree species in Sweden's extensive forested landscape. However, the planting of spruce beyond its natural range has made it vulnerable to pests like the spruce bark beetle (Ips typographus), which has caused substantial damage to Swedish forests. LÄS MER

  3. 12. Stable diffusion for HRIR extrapolation : A novel approach with deep learning

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

    Författare :Axel Rooth; [2023]
    Nyckelord :Head-related filter; Generative AI; Diffusion; Huvud-relaterat filter; Generative AI; Diffusion;

    Sammanfattning : Humans perceive and interact with their environment through a multitude of sensory channels. Among these, hearing plays a pivotal role, enabling humans to effectively navigate their surroundings. LÄS MER

  4. 13. Automatic Interpretation of Ion Beam Measurements of Walls in Fusion Machines

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

    Författare :Daniel Lundberg; Ludvig Johansson; [2023]
    Nyckelord :;

    Sammanfattning : The purpose of this study is to investigate whether it is possible to automatically interpret theresults of Time-of-flight Elastic Recoil Detection Analysis (ToF-ERDA). And if so, find out if the automaticinterpretation is quicker and/or more accurate than the current approach that consists of manualanalysis. LÄS MER

  5. 14. Enhancing Object Detection in Infrared Videos through Temporal and Spatial Information

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

    Författare :Shi Jinke; [2023]
    Nyckelord :Object Detection; Infrared Video Dataset; Temporal and Spatial Information; Objektdetektion; infraröd videodatauppsättning; tids- och rumslig information;

    Sammanfattning : Object detection is a prominent area of research within computer vision. While object detection based on infrared videos holds great practical significance, the majority of mainstream methods are primarily designed for visible datasets. LÄS MER

  7. 15. Geospatial Trip Data Generation Using Deep Neural Networks

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

    Författare :Aditya Deepak Udapudi; [2022]
    Nyckelord :Deep Learning; Geospatial; Generative Adversarial Network GAN ; Deep Learning; Geospatial; Generativa Motståndsnätverk GAN ;

    Sammanfattning : Development of deep learning methods is dependent majorly on availability of large amounts of high quality data. To tackle the problem of data scarcity one of the workarounds is to generate synthetic data using deep learning methods. LÄS MER