Essays about: "Network Performance"

Showing result 1 - 5 of 1947 essays containing the words Network Performance.

  1. 1. Quantum Error Correction Using Graph Neural Networks

    University essay from Göteborgs universitet / Institutionen för fysik

    Author : Valdemar Bergentall; [2021-06-17]
    Keywords : Quantum error correction; surface code; graph neural networks;

    Abstract : A graph neural network (GNN) is constructed and trained with a purpose of usingit as a quantum error correction decoder for depolarized noise on the surface code.Since associating syndromes on the surface code with graphs instead of grid-likedata seemed promising, a previous decoder based on the Markov Chain Monte Carlomethod was used to generate data to create graphs. READ MORE

  2. 2. Sequential Anomaly Detection for Log Data Using Deep Learning

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Lina Hammargren; Wei Wu; [2021-06-14]
    Keywords : anomaly detection; recurrent neural network; long short-term memory; semi-supervised learning; seq2seq; transformer; unsupervised learning; log analysis;

    Abstract : AbstractSoftware development with continuous integration changes needs frequent testing forassessment. Analyzing the test output manually is time-consuming and automatingthis process could be beneficial to an organization. READ MORE

  3. 3. Option Modelling by Deep Learning

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Niclas Klausson; Victor Tisell; [2021-02-10]
    Keywords : Deep learning; deep hedging; generative adversial networks; arbitrage pricing;

    Abstract : In this thesis we aim to provide a fully data driven approach for modelling financial derivatives, exclusively using deep learning. In order for a derivatives model to be plausible, it should adhere to the principle of no-arbitrage which has profound consequences on both pricing and risk management. READ MORE

  4. 4. Anomaly detection in 5G beam propagation

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Katarina Hellgren; Phiphi Tran; [2021]
    Keywords : Machine learning; wireless communication; 5G; beam propagation; DBSCAN; KNN; anomaly detection; clustering; Technology and Engineering;

    Abstract : Advancements in today's technology has motivated invention of faster mobile communication systems. The fifth generation mobile network, 5G, is the latest version made by the third generation partnership project (3GPP) and expects to both increase connection speed and reduce latency, which eventually will make it applicable in supporting state-of-the art technologies such as virtual reality and self-driving vehicles among others. READ MORE

  5. 5. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    University essay from KTH/Optimeringslära och systemteori

    Author : Hanna Westermark; [2021]
    Keywords : Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Abstract : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. READ MORE