Essays about: "Generative Adversarial Network"
Showing result 21 - 25 of 117 essays containing the words Generative Adversarial Network.
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21. Fast Simulations of Radio Neutrino Detectors : Using Generative Adversarial Networks and Artificial Neural Networks
University essay from Uppsala universitet/HögenergifysikAbstract : 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. READ MORE
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22. Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : 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. READ MORE
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23. Anomalous Behavior Detection in Aircraft based Automatic Dependent Surveillance–Broadcast (ADS-B) system using Deep Graph Convolution and Generative model (GA-GAN)
University essay from Linköpings universitet/Databas och informationsteknikAbstract : 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. READ MORE
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24. Impact of MR training data on the quality of synthetic CT generation
University essay from Umeå universitet/Institutionen för fysikAbstract : Both computed tomography (CT) and magnetic resonance imaging (MRI) have a purpose for radiotherapy. But having two imaging sessions brings uncertainty which makes it beneficial to create synthetic CT (sCT) images from MR images. In this work a Generative Adversarial Network (GAN) was designed and implemented for sCT generation. READ MORE
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25. Genre style transfer : Symbolic genre style transfer utilising GAN with additional genre-enforcing discriminators
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Style transfer using Generative adversarial networks (GANs) has been successful in recent publications. One field in style transfer is music style transfer, in which a piece of music is transformed in some way, be it through genre-, harmonic-, rhythmic transfer, etc. READ MORE