Sökning: "price image accuracy"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden price image accuracy.

  1. 1. Pricing collateralized loan obligation tranches using machine learning : Machine learning applied to financial data

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

    Författare :Marcus Enström; [2022]
    Nyckelord :Collateralized loan obligation; Machine learning; Artificial neural networks; Financial data; Ensemble methods; Collateralized loan obligation; Maskininlärning; Artificiella neurala nätverk; Finansiell data; Ensemblemetoder;

    Sammanfattning : Machine learning and neural networks have recently become very popular in a large category of domains, partly thanks to their ability to solve complex problems by finding patterns in data, but also due to an increase in computing power and data availability. Successful applications of machine learning include for example image classification, natural language processing, and product recommendation. LÄS MER

  3. 2. Local Feature Correspondence on Side-Scan Sonar Seafloor Images

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

    Författare :Li Ling; [2021]
    Nyckelord :;

    Sammanfattning : In underwater environments, the perception and navigation systems are heavily dependent on the acoustic wave based sonar technology. Side-scan sonar (SSS) provides high-resolution, photo-realistic images of the seafloor at a relatively cheap price. LÄS MER

  4. 3. Detecting illegal gold mining sites in the Amazon forest : Using Deep Learning to Classify Satellites Images

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

    Författare :Nathan Labbe; [2021]
    Nyckelord :Deep Learning; Image Classification; Image Segmentation; Environmental Monitoring; Illegal Gold Mines Detection; Djupinlärning; bildklassificering; bildsegmentering; miljöövervakning; upptäckt av illegala guldgruvor;

    Sammanfattning : Illegal gold mining in the Amazon forest has increased dramatically since 2005 with the rise in the price of gold. The use of chemicals such as mercury, which facilitate the gold extraction, increases the toxicity of the soil and can enter the food chain, leading to health problems for the inhabitants, and causes the environmental scourge we know today. LÄS MER

  5. 4. Recurrent neural networks for financial asset forecasting

    Master-uppsats, KTH/Matematisk statistik

    Författare :Gustaf Tegnér; [2018]
    Nyckelord :;

    Sammanfattning : The application of neural networks in finance has found renewed interest in the past few years. Neural networks have a proven capability of modeling non-linear relationships and have been proven widely successful in domains such as image and speech recognition. LÄS MER

  7. 5. Detaljmätning med terrester fotogrammetri : Med smartphone, bildrover och multistation

    Kandidat-uppsats, Högskolan i Gävle/Samhällsbyggnad, GIS

    Författare :Johannes Nyström; Hampus Tholander; [2018]
    Nyckelord :Terrester fotogrammetri; Detaljmätning; Trimble V10 Imaging Rover; Trimble SX10; iPhone 7;

    Sammanfattning : Detaljmätning genomförs främst genom traditionella metoder, d.v.s. mätning med Global Navigation Satellite System (GNSS) eller totalstationsmätning. LÄS MER