Autors: Angelov, S. A., Lazarova, M. K.
Title: Convolutional autoencoders for image comparison in printing industry quality control
Keywords: image comparison, convolutional autoencoder, deep learning,

References

    Issue

    10th 2022 IEEE International Conference “Computer Science”, 2022, Bulgaria,

    Цитирания (Citation/s):
    1. Wu, Y., He, W., Sun, S. and Tang, T., A Defect Detection Method Based on Parallel Multiple AutoEncoders, 26th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 545-551, 2023 - 2023 - в издания, индексирани в Scopus или Web of Science
    2. Kocon, M., M. Malesa, J. Rapcewicz, Ultra-Lightweight Fast Anomaly Detectors for Industrial Applications. Sensors 2024, 24, 161. https://doi.org/10.3390/s24010161 - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus