Essays about: "GAN"
Showing result 1 - 5 of 143 essays containing the word GAN.
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1. 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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2. Feasibility of single time point dosimetry during 177Lu-PSMA-617 treatments of prostate cancer
University essay from Lunds universitet/SjukhusfysikerutbildningenAbstract : Introduction: Standard dosimetry methods for radionuclide therapies re- quire imaging at multiple time points post injection. An alternative method has been presented in the literature that uses previously acquired pharma- cokinetic data to create so-called dose factors. READ MORE
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3. 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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4. 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
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5. Generating Geospatial Trip DataUsing Deep Neural Networks
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Synthetic data provides a good alternative to real data when the latter is not sufficientor limited by privacy requirements. In spatio-temporal applications, generating syntheticdata is generally more complex due to the existence of both spatial and temporal dependencies. READ MORE
