Essays about: "convolutional neuralt nätverk"

Showing result 11 - 15 of 66 essays containing the words convolutional neuralt nätverk.

  1. 11. Deep learning for temporal super-resolution of 4D Flow MRI

    University essay from KTH/Matematik (Avd.)

    Author : Pia Callmer; [2023]
    Keywords : Temporal super-resolution; 4D Flow MRI; CNN; Artificial Intelligence; MRI; 4D flow; Temporal superupplösning; 4D flöde MRI; CNN; artificiell intelligens; MRI; 4D-flöde;

    Abstract : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. READ MORE

  3. 12. Convolutional-LSTM for IGBTs Prognostics and Age Monitoring : Designing a neural network for predicting aging precursors in power devices

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

    Author : Matteo Santoro; [2023]
    Keywords : Neural Networks; Igbt; Prognostics; Age Monitoring; Neurala Nätverk; Igbt; Prognostik; Övervakning av Ålder;

    Abstract : In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insulated Bipolar Gate Transistors (IGBTs), despite their critical role in high power electronic applications. READ MORE

  4. 13. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity

    University essay from Uppsala universitet/Signaler och system

    Author : David Brunell; [2022]
    Keywords : Siamese network; convolutional neural network;

    Abstract : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. READ MORE

  5. 14. Reducing the computational complexity of a CNN-based neural network used for partitioning in VVC compliant encoders

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

    Author : Saman Rassam; [2022]
    Keywords : Video Coding; VVC; Block Partitioning; VTM; ANN; CNN; Videkodning; VVC; Blockpartitionering; VTM; ANN; CNN;

    Abstract : Block partitioning is a computationally heavy step in the video coding process. Previously, this stage has been done using a full-search-esque algorithm. READ MORE

  6. 15. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

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

    Author : Hairuo Gao; [2022]
    Keywords : Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

    Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE