Sökning: "convolutional neural networks"

Visar resultat 1 - 5 av 499 uppsatser innehållade orden convolutional neural networks.

  1. 1. Driver Behavior Classification in Electric Vehicles

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

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

    Sammanfattning : 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. LÄS MER

  2. 2. Quantum Error Correction Using Graph Neural Networks

    Master-uppsats, Göteborgs universitet / Institutionen för fysik

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

    Sammanfattning : 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. LÄS MER

  3. 3. Text Classification of Human Resources-related Data with Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Christine Rosquist; [2021]
    Nyckelord :;

    Sammanfattning : Text classification has been an important application and research subject since the origin of digital documents. Today, as more and more data are stored in the form of electronic documents, the text classification approach is even more vital. LÄS MER

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

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Max Rylander; Filip Hultgren; [2021]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, Linköpings universitet/Datorseende

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

    Sammanfattning : 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. LÄS MER