Sökning: "Convolutional Kernel Networks"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Convolutional Kernel Networks.

  1. 1. Deep Learning Based Out-of-focus Detection on Surveillance Footage

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Hanna Bengtsson; Teodora Kerac; [2023]
    Nyckelord :Deep Learning; CNN; Out-of-focus detection; Mathematics and Statistics;

    Sammanfattning : Loss of focus in surveillance cameras can occur due to factors such as environmental aspects, sabotage or system errors. The focus loss leads to degraded footage that is of no use for either post-investigation or automatic video analysis. LÄS MER

  3. 2. Bayesian Optimization for Neural Architecture Search using Graph Kernels

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

    Författare :Bharathwaj Krishnaswami Sreedhar; [2020]
    Nyckelord :Neural architecture search; Bayesian optimization; Graph kernels; Graph convolutional networks; Neural architecture search; Bayesian optimization; Graph kernels; Graph convolutional networks;

    Sammanfattning : Neural architecture search is a popular method for automating architecture design. Bayesian optimization is a widely used approach for hyper-parameter optimization and can estimate a function with limited samples. LÄS MER

  4. 3. Injector diagnosis based on engine angular velocity pulse pattern recognition

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :David Nyman; [2020]
    Nyckelord :machine learning; supervised machine learning; neural network; internal combustion engine; fault diagnosis;

    Sammanfattning : In a modern diesel engine, a fuel injector is a vital component. The injectors control the fuel dosing into the combustion chambers. The accuracy in the fuel dosing is very important as inaccuracies have negative effects on engine out emissions and the controllability. LÄS MER

  5. 4. Human Age Prediction Based on Real and Simulated RR Intervals using Temporal Convolutional Neural Networks and Gaussian Processes

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Maximilian Pfundstein; [2020]
    Nyckelord :Statistics; Machine Learning; RR; RR intervals; ECG; Gaussian Processes; Health Care; Convolutional Neural Networks; Time Series; Data Simulation; Human Age Prediction;

    Sammanfattning : Electrocardiography (ECG) is a non-invasive method used in medicine to track the electrical pulses sent by the heart. The time between two subsequent electrical impulses and hence the heartbeat of a subject, is referred to as an RR interval. LÄS MER

  7. 5. An Embedded System for Classification and Dirt Detection on Surgical Instruments

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

    Författare :Guðmundur Hallgrímsson; [2019]
    Nyckelord :Neural Network; CNN; FPGA; PetaLinux; Winograd; High-level Synthesis; Neuralt nätverk; Faltade neurala nätverk; FPGA; PetaLinux; Winograd; Hög-nivå syntes;

    Sammanfattning : The need for automation in healthcare has been rising steadily in recent years, both to increase efficiency and for freeing educated workers from repetitive, menial, or even dangerous tasks. This thesis investigates the implementation of two pre-determined and pre-trained convolutional neural networks on an FPGA for the classification and dirt detection of surgical instruments in a robotics application. LÄS MER