Sökning: "technical noise"

Visar resultat 11 - 15 av 93 uppsatser innehållade orden technical noise.

  1. 11. En bildkvalitésutvärdering av två datortomografer i syfte att rättfärdiga ett inköp av en ny datortomograf : En fantomstudie

    Kandidat-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Molly Burke; Linnéa Gustafsson; [2022]
    Nyckelord :: Computed tomography CT ; Contrast-to-noise ratio CNR ; Radiation dose; Photon-counting detector; Datortomografi CT ; Kontrast-brus-förhållandet CNR ; Stråldos; Fotonräknande detektor;

    Sammanfattning : Antal datortomografiundersökningar har ökat under flera år i Sverige tack vare tekniska utvecklingar och ökad tillgänglighet på sjukvård. Södertälje sjukhus röntgenavdelningen är i behov av att byta ut en utdaterad datortomograf (eng: Computed tomography, CT) och avdelningen för medicinsk teknik har föreslagit ett inköp av en CT med fotonräknande-detektor. LÄS MER

  3. 12. Heterogeneous catalytic reactions studied with transient gas supply and event-averaged ambient pressure x-ray photoelectron spectroscopy

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/NanoLund: Centre for Nanoscience

    Författare :Qianhui Liu; [2022]
    Nyckelord :Ambient pressure x-ray photoelectron spectroscopy; Event-averaging; Pd 100 surface structure oscillation; Physics and Astronomy;

    Sammanfattning : CO oxidation over Pd(100) is studied with ambient pressure x-ray photoelectron spectroscopy (APXPS). Cyclic gas composition pulsing of the CO:O2 ratio, combined with a new method using software based event-averaging by image recognition over many pulses, is used to improve the signal-to-noise ratio substantially. LÄS MER

  4. 13. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study

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

    Författare :Erik Persson; [2022]
    Nyckelord :Cryptocurrencies; Financial time-series; Multi step-ahead forecasting; Machine Learning; Feature selection; Kryptovalutor; Finansiella tidsserier; Flerstegsprognoser; Maskininlärning; variabelselektion;

    Sammanfattning : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. LÄS MER

  5. 14. COVID-19 Literature Compiler : A literature-mining and Data Visualization Tool

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

    Författare :Yulian Luo; [2022]
    Nyckelord :literature-mining; Single Page Application; Graph Database; Litteraturbrytning; Ensidig Applikation; Grafdatabas;

    Sammanfattning : The number of COVID-19 related articles increased explosively with the start of the pandemic. To save time and effort, researchers use literature-mining tools to find articles efficiently. As COVID-19 related research continues developing, it is important for researchers to know the trend of recent studies. LÄS MER

  7. 15. Gearbox fault detection, based on Machine Learning of multiple sensors

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Armands Krumins; [2021]
    Nyckelord :condition monitoring; gear; machine learning; surface fatigue;

    Sammanfattning : The increasing demand for higher efficiency and lower environmental impact of transmissions, used in automotive and wind energy industries has created a need for more advanced technical solutions to fulfil those requirements. Condition monitoring plays an important role in the transmission life cycle, saving resources and time. LÄS MER