Sökning: "Convolutional Neural Network"

Visar resultat 1 - 5 av 401 uppsatser innehållade orden Convolutional Neural Network.

  1. 1. Convolutional neural networks for semantic segmentation of FIB-SEM volumetric image data

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Fredrik Skärberg; [2020-11-26]
    Nyckelord :Deep learning; convolutional neural networks; image analysis; semantic segmentation; focused ion beam scanning electron microscopy; porous materials; controlled drug release;

    Sammanfattning : Focused ion beam scanning electron microscopy (FIB-SEM) is a well-established microscopytechnique for 3D imaging of porous materials. We investigate three poroussamples of ethyl cellulose microporous films made from ethyl cellulose and hydroxypropylcellulose (EC/HPC) polymer blends. 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. 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

  5. 5. Evaluation of text classification techniques for log file classification

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Per Olin; [2020]
    Nyckelord :Text classification; machine learning; NLP; natural language processing; log file; doc2vec; CNN; LSTM; LSTM-CNN;

    Sammanfattning : System log files are filled with logged events, status codes, and other messages. By analyzing the log files, the systems current state can be determined, and find out if something during its execution went wrong. LÄS MER