Sökning: "moln"

Visar resultat 26 - 30 av 225 uppsatser innehållade ordet moln.

  1. 26. Kalman filters as an enhancement to object tracking using YOLOv7

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Axel Jernbäcker; [2022]
    Nyckelord :statistics; applied mathematics; machine learning; kalman filter; statistik; tillämpad matematik; maskinlärning; kalman filter;

    Sammanfattning : In this paper we study continuous tracking of airplanes using object detection models, namely YOLOv7, combined with a Kalman filter. The tracking should be able to be done in real-time. The idea of combining Kalman filters with an object detection model comes from the lack of time-dependent context in models such as YOLOv7. LÄS MER

  3. 27. An Infrared Stellar Thermometer: Exploiting IGRINS Spectra

    Kandidat-uppsats, Lunds universitet/Astronomi - Genomgår omorganisation

    Författare :Emelie Sandved; [2022]
    Nyckelord :Effective temperature; K-giants; surface gravity; oxygen abundance; carbon abundance; CO lines; OH lines; line sensitivities; Physics and Astronomy;

    Sammanfattning : Using the infrared (IR) spectral range when measuring stellar spectra is beneficial compared to using the optical range mainly when observing distant stars through the dust dense interstellar regions in the Galactic mid-plane. Methods to determine stellar parameters from IR spectra are, however, not fully developed yet because technological difficulties in creating reliable IR detectors have slowed the advance of such methods. LÄS MER

  4. 28. Exploring Diversity of Spectral Data in Cloud Detection with Machine Learning Methods : Contribution of Near Infrared band in improving cloud detection in winter images

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

    Författare :Nakita Sunil Oza; [2022]
    Nyckelord :Remote sensing; Multispectral imaging; Cloud detection; Data diversity; Deep learning; Fjärranalys; Multispektral bildbehandling; Molndetektion; Datadiversitet; Djupinlärning;

    Sammanfattning : Cloud detection on satellite imagery is an essential pre-processing step for several remote sensing applications. In general, machine learning based methods for cloud detection perform well, especially the ones based on deep learning as they consider both spatial and spectral features of the input image. LÄS MER

  5. 29. Ett grått moln fylld med regn: Upplevelser av att vara en familjemedlem till en person med bipolär sjukdom : En litteraturstudie

    Kandidat-uppsats, Karlstads universitet/Institutionen för hälsovetenskaper (from 2013)

    Författare :Ilwad Haiir; Syamand Murad; [2022]
    Nyckelord :Bipolär sjukdom; anhöriga; vårdgivare; upplevelse;

    Sammanfattning : Introduktion/Bakgrund: Bipolär sjukdom är en psykisk sjukdom som innefattar episoder av mani, hypomani och depressiva symtom. Det påverkar både patient samt anhöriga, vilket påverkar familjens livskvalite. Då kärnfamiljemedlemmar tar på sig ansvaret. Sjuksköterskans roll är att upmmärksamma anhörigas upplevelser i omvårdnaden. LÄS MER

  7. 30. Mitigating the effects of vendor lock-in in edge cloud environments with open-source technologies

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

    Författare :Gabor Finta; [2022]
    Nyckelord :;

    Sammanfattning : Cloud computing has been in the center of attention recently. Its popularity has increased significantly. More and more companies decide to use a cloud for running their applications. However, this introduces certain problems, such as vendor lock-in. LÄS MER