Sökning: "Deep learning"

Visar resultat 1 - 5 av 1190 uppsatser innehållade orden Deep learning.

  1. 1. Quality Attributes of Data in Distributed Deep Learning Architectures

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

    Författare :SHAMEER KUMAR PRADHAN; SAGAR TUNGAL; [2021-09-28]
    Nyckelord :Data quality; Data; Data quality attributes; Data quality challenges; Data quality workflow; Data quality assessment; Data quality maintenance; Design science research; Artifacts; Template; Deep learning; Distributed architecture; Distributed deep learning architecture; Advanced driver assistance systems;

    Sammanfattning : Large volume of data is generated by different systems. Intelligent systems such asautonomous driving uses such large volume of data to train their artificial intelligence models. However, good quality data is one of the foremost needs of any system to function in an effective and safe manner. LÄS MER

  3. 2. Ocean Exploration with Artificial Intelligence

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

    Författare :Sarah Al-Khateeb; Lisa Bodlak; [2021-07-06]
    Nyckelord :computer science; deep learning; generative adversarial networks; data augmentation; object detection; underwater image; computer vision;

    Sammanfattning : Large and diverse data is crucial to train object detection systems properly andachieve satisfactory prediction performance. However, in some areas, such as ma rine science, gathering sufficient data is challenging and sometimes even infeasible.Working with limited data can result in overfitting and poor performance. LÄS MER

  4. 3. 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

  5. 4. Sequential Anomaly Detection for Log Data Using Deep Learning

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

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

    Sammanfattning : 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. LÄS MER

  7. 5. Application of Machine Learning Algorithms for Post Processing of Reference Sensors

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

    Författare :VASILIKI LAMPROUSI; [2021-04-01]
    Nyckelord :Object detection; machine learning; camera; sensors; semi-supervised learning;

    Sammanfattning : The Autonomous Drive (AD) systems and Advanced Driver Assistance Systems(ADAS) in the current and future generations of vehicles include a large numberof sensors which are used to perceive the vehicle’s surroundings. The productionsensors of these vehicles are verified and validated against reference data that areoriginated from high-accurate reference sensors that are placed in a reference roofbox at the top of the vehicle. LÄS MER