Essays about: "GaN"

Showing result 1 - 5 of 142 essays containing the word GaN.

  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. Feasibility of single time point dosimetry during 177Lu-PSMA-617 treatments of prostate cancer

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Elias Nilsson; [2022]
    Keywords : Medicine and Health Sciences;

    Abstract : 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

  3. 3. 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

  4. 4. 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

  5. 5. LiDAR Point Cloud De-noising for Adverse Weather

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Johan Bergius; Jesper Holmblad; [2022]
    Keywords : Semantic Segmentation; Lidar point cloud; CNN; GAN; CycleGAN; Unsupervised; LiOR; DSOR; DROR; WADS;

    Abstract : Light Detection And Ranging (LiDAR) is a hot topic today primarily because of its vast importance within autonomous vehicles. LiDAR sensors are capable of capturing and identifying objects in the 3D environment. However, a drawback of LiDAR is that they perform poorly under adverse weather conditions. READ MORE