Essays about: "convolutional neural networks"

Showing result 1 - 5 of 476 essays containing the words convolutional neural networks.

  1. 1. 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

  2. 2. 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

  3. 3. Application failure predictions from neural networks analyzing telemetry data

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Max Rylander; Filip Hultgren; [2021]
    Keywords : ;

    Abstract : ith the revolution of the internet, new applications have emerged in our daily life. People are dependent on services for transportation, bank matters, and communication. Services availability is crucial for their survival and competition against other service providers. Achieving good availability is a challenging task. 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