Essays about: "Convolutional neural network"

Showing result 1 - 5 of 518 essays containing the words Convolutional neural network.

  1. 1. Convolutions on graphs for learning vehicle crash behaviour

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Daniel Adin; [2021-11-09]
    Keywords : Computer; science; computer science; engineering; graph; convolutions; inite element method; project; thesis;

    Abstract : Convolutional Neural Networks (CNN) have shown successful results in the recent years, especially within the area of image analysis. The idea of learning to predict the result of a crash simulation using machine learning rose from the analogy between images and Finite Element models (FE-models) used in crash simulations. READ MORE

  2. 2. Driver Behavior Classification in Electric Vehicles

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : FEDERICA COMUNI; CHRISTOPHER MÉSZÁROS; [2021-07-06]
    Keywords : Aggressive driver behavior; Driver behavior classification; Self-attention; Recurrence plots; active learning; Active deep dropout; Gradual pseudo labeling;

    Abstract : Studies have shown that driving style affects the energy consumption of electric vehicles, with aggressive driving consuming up to 30% more energy than moderate driving. Therefore, modeling of aggressive driving can provide a more precise estimation of the energy consumption and the remaining range of a vehicle. READ MORE

  3. 3. 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

  4. 4. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models

    University essay from Linköpings universitet/Datorseende

    Author : Christian von Koch; William Anzén; [2021]
    Keywords : deep learning; deep neural network; computer vision; image segmentation; iron ore pelletising plant; furnace slag-detection; U-Net; PSPNet;

    Abstract : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. 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