Sökning: "Convolutional"

Visar resultat 1 - 5 av 532 uppsatser innehållade ordet Convolutional.

  1. 1. Neural networks for imputation of missing genotype data : An alternative to the classical statistical methods in bioinformatics

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Alfred Andersson; [2020]
    Nyckelord :genetics; imputation; bioinformatics; neural networks; GWAS;

    Sammanfattning : In this project, two different machine learning models were tested in an attempt at imputing missing genotype data from patients on two different panels. As the integrity of the patients had to be protected, initial training was done on data simulated from the 1000 Genomes Project. LÄS MER

  2. 2. Applying machine learning to detect structural faults in microscopic images of inserts

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Emil Fröjd; [2020]
    Nyckelord :bildanalys; maskininlärning; cnn;

    Sammanfattning : Today the quality control of inserts at Sandvik is done manually by looking at their crosssections through a microscope. The purpose of this project was to automate the quality control of inserts by exploring machine Learning technique to automatically detect structural faults in microscopic images of the insert. LÄS MER

  3. 3. Training a Neural Network using Synthetically Generated Data

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

    Författare :Fredrik Diffner; Hovig Manjikian; [2020]
    Nyckelord :Synthetic data set; Generating synthetic data set; Machine learning; Deep Learning; Convolutional Neural Networks; Machine learning model; Character recognition in natural images; Char74k; ICDAR2003.; Syntetiskt dataset; Generera syntetiskt data; Maskininlärning; Maskininlärningsmodell; Djuplärning; Konvolutionära neurala nätverk; teckenigenkänning i bilder; Char74k; ICDAR2003;

    Sammanfattning : A major challenge in training machine learning models is the gathering and labeling of a sufficiently large training data set. A common solution is the use of synthetically generated data set to expand or replace a real data set. LÄS MER

  4. 4. Energy reconstruction with artificial neural networks on LDMX simulations

    Kandidat-uppsats, Lunds universitet/Partikelfysik; Lunds universitet/Fysiska institutionen

    Författare :Daniel Magdalinski; [2020]
    Nyckelord :Dark matter; LDMX; electromagnetic calorimeter; neural networks; convolutional neural networks; Physics and Astronomy;

    Sammanfattning : It is clear from evidence such as rotational curves and cosmic microwave background measurements that dark matter exists. The light dark matter experiment (LDMX) will search for dark matter in the sub-GeV range. It will do this using missing-momentum measurements of electrons interacting with a Tungsten target. LÄS MER

  5. 5. Sequence classification on gamified behavior data from a learning management system : Predicting student outcome using neural networks and Markov chain

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Niclas Elmäng; [2020]
    Nyckelord :Long Short-term Memory; Convolutional neural network; Markov Chain; Time series Classification; Gamification;

    Sammanfattning : This study has investigated whether it is possible to classify time series data originating from a gamified learning management system. By using the school data provided by the gamification company Insert Coin AB, the aim was to distribute the teacher’s supervision more efficiently among students who are more likely to fail. LÄS MER