Sökning: "deep generative model"

Visar resultat 21 - 25 av 96 uppsatser innehållade orden deep generative model.

  1. 21. Fingerprint Synthesis Using Deep Generative Models

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Weizhong Tang; Diego André Figueroa Llamosas; [2023]
    Nyckelord :Fingerprint Synthesis; Deep Generative Models; Style Transfer; Metrics; Technology and Engineering;

    Sammanfattning : The advancements in biometric technology have amplified the need for more robust fingerprint synthesis techniques. In this thesis, we first explored the application of synthesizing normal fingerprint images in high fidelity using deep generative models (e.g. LÄS MER

  3. 22. Are these numbers real?

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Karl Griphammar; [2022-10-14]
    Nyckelord :Machine learning; data science; deep generative models; GAN; quality control; smart manufacturing; subspaces;

    Sammanfattning : Smart manufacturing refers to the use of digitalization for improving and automating manufacturing processes. One use case is artificial intelligence (AI) used in quality control, which can reduce production costs and heavy labor. Training AI models requires large amounts of annotated data, which can be costly to obtain. LÄS MER

  4. 23. Fast Simulations of Radio Neutrino Detectors : Using Generative Adversarial Networks and Artificial Neural Networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

    Författare :Anton Holmberg; [2022]
    Nyckelord :Askaryan emission; Radio detection of neutrinos; in-ice propagation; neutrino; Generative adversarial networks; GAN; WGAN; Neural networks; NN; surrogate model; IceCube; deep learning; generative model;

    Sammanfattning : Neutrino astronomy is expanding into the ultra-high energy (>1017eV) frontier with the use of in-ice detection of Askaryan radio emission from neutrino-induced particle showers. There are already pilot arrays for validating the technology and the next few years will see the planning and construction of IceCube-Gen2, an upgrade to the current neutrino telescope IceCube. LÄS MER

  5. 24. Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Joel Wulff; [2022]
    Nyckelord :Deep learning; virtual staining; blood; cells; GANs; Generative adversarial networks; CNNs; convolutional neural networks; ESRGAN; Unet; digital microscopy; Mathematics and Statistics;

    Sammanfattning : Blood tests are an important part of modern medicine, and are essentially always stained using chemical colorization methods before analysis by computational or manual methods. The staining process allows different parts of blood cells to be discerned that would be unnoticeable in unstained blood. LÄS MER

  7. 25. Anomalous Behavior Detection in Aircraft based Automatic Dependent Surveillance–Broadcast (ADS-B) system using Deep Graph Convolution and Generative model (GA-GAN)

    Magister-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Jayesh Kenaudekar; [2022]
    Nyckelord :Intrusion detection aircraft aviation security adsb protocol AI deep learning machine learning graph generative model surveillance broadcast;

    Sammanfattning : The Automatic Dependent Surveillance-Broadcast (ADS-B) is a key component of the Next Generation Air Transportation System (Next Gen) that manages the increasingly congested airspace and operation. From Jan 2020, the U.S. Federal Aviation Administration (FAA) mandated the use of (ADS-B) as a key component of Next Gen project. LÄS MER