Essays about: "Generative Adversarial Networks"

Showing result 1 - 5 of 91 essays containing the words Generative Adversarial Networks.

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

    University essay from Uppsala universitet/Högenergifysik

    Author : Anton Holmberg; [2022]
    Keywords : 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;

    Abstract : 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

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

    University essay from Lunds universitet/Matematik LTH

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

    Abstract : 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

  3. 3. Generating Geospatial Trip DataUsing Deep Neural Networks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Ahmed Alhasan; [2022]
    Keywords : Deep Learning; Machine Learning; Statistics; Generative Adversarial Networks; Computer Science; Generative Models;

    Abstract : 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


    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Ludvig Persson; William Andersson Arvsell; [2022]
    Keywords : DCGAN; GAN; ANN; Neuro-Fuzzy; Neuro; Fuzzy; ML; MNIST; EMNIST; FIS; DNFN;

    Abstract : Since mid to late 2010 image synthesizing using neural networks has become a trending research topic. And the framework mostly used for solving these tasks is the Generative adversarial network (GAN). GAN works by using two networks, a generator and a discriminator that trains and competes alongside each other. READ MORE

  5. 5. Machine Learning in Architecture

    University essay from Lunds universitet/Institutionen för arkitektur och byggd miljö

    Author : Qingling Wang; [2022]
    Keywords : Machine learning;Artificial intelligence;Generative adversarial networks;Church; Arts and Architecture;

    Abstract : The development of image-based machine learning technology brings new ways of how we use and produce images. Due to the significant reliance on images and drawings, machine learning technology might achieve new potentials for the architecture discipline. My thesis explored these potentials through conducting experiments. READ MORE