Essays about: "Network Parameters"

Showing result 1 - 5 of 711 essays containing the words Network Parameters.

  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. Deep Neural Networks for dictionary-based 5G channel estimation with no ground truth in mixed SNR scenarios

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Matteo Ferrini; [2022]
    Keywords : 5G; Channel Estimation; Sparse Linear Inverse Problem; Approximate Message Passing; Neural Networks; 5G; kanaluppskattning; sparsamt linjärt inversproblem; approximativ meddelandeöverföring; neurala nätverk;

    Abstract : Channel estimation is a fundamental task for exploiting the advantages of massive Multiple-Input Multiple-Output (MIMO) systems in fifth generation (5G) wireless technology. Channel estimates require solving sparse linear inverse problems that is usually performed with the Least Squares method, which brings low complexity but high mean squared error values. READ MORE

  3. 3. Adaptive Modulation Coding Scheme in Amplify and Forward Relay Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Nirnay Reddy Nallavelli; Sushma Swaraj Chilupuri; [2022]
    Keywords : Adaptive Modulation; Modulation and Coding Schemes; Amplify and Forward; Signal to Noise Ratio; Nakagami-m Distribution.;

    Abstract : Wireless communications have become an essential part of our daily life. Despite the fact that wireless networks are simple to set up and deploy, the channel conditionsin wireless networks are susceptible to fading and attenuation, thereby reducing the transmission efficiency and reliability. READ MORE

  4. 4. A Deep Learning Based Approach to Object Recognition from LiDAR Data Along Swedish Railroads

    University essay from KTH/Fastigheter och byggande

    Author : Egil Morast; [2022]
    Keywords : Deep learning; DGCNN; LiDAR; Object recognition; Railroad; Automatisation; Sweden; Point cloud; Djupinlärning; DGCNN; LiDAR; Objektigenkänning; Järnväg; Automatisering; Sverige; Punktmoln;

    Abstract : Malfunction in the overhead contact line system is a common cause of disturbances in the train traffic in Sweden. Due to the preventive methods being inefficient, the Swedish Transport Administration has stated the need to develop the railroad maintenance services and has identified Artificial Intelligence (AI) as an important tool for this undertaking. READ MORE

  5. 5. Nonlinear Methods of Aerodynamic Data-driven Reduced Order Modeling

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Arvid Forsberg; [2022]
    Keywords : machine learning; aerodynamics; autoencoder; kernel transformation; principal component analysis; nonlinear; regression; modeling; surrogate model; reduced order modeling; neural network;

    Abstract : Being able to accurately approximate outputs of computationally expensive simulations for arbitrary input parameters, also called missing points estimation, is central in many different areas of research and development with applications ranging from uncertainty propagation to control system design to name a few. This project investigates the potential of kernel transformations and nonlinear autoencoders as methods of improving the accuracy of the proper orthogonal decomposition method combined with regression. READ MORE