Search alternatives:
articles » article (Expand Search)
Showing 1,921 - 1,940 results of 3,666 for search 'articles stack', query time: 0.12s Refine Results
  1. 1921
  2. 1922
  3. 1923
  4. 1924
  5. 1925
  6. 1926
  7. 1927
  8. 1928
  9. 1929
  10. 1930

    Improving protection reliability of series‐compensated transmission lines by a fault detection method through an ML‐based model by Hossein Ebrahimi, Sajjad Golshannavaz, Amin Yazdaninejadi, Edris Pouresmaeil

    Published 2024-11-01
    “…In the proposed model, stacked layers of bidirectional long short‐term memory (Bi‐LSTM) cells are fed by voltage and current signals to distinguish between different fault scenarios. …”
    Get full text
    Article
  11. 1931

    MODELING OF THE PROCESS OF CUTTING MINERAL GROUNDS BY PASSIVE WORKING DRAWNER DURING THE CONSTRUCTION OF CLOSED DRAINAGE by E. Z. Batmanov, T. G. Gasanov, M. R. Guseynov

    Published 2019-05-01
    “…Objectives. The article describes an electronic model of the soil to study its rheological properties and study the process of cutting passive working bodies (knives) of mineral soils with trench-less method of building a closed drainage.Method. …”
    Get full text
    Article
  12. 1932
  13. 1933
  14. 1934
  15. 1935
  16. 1936
  17. 1937
  18. 1938
  19. 1939

    An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing by Estefania Alfaro-Mejia, Carlos J. Delgado, Vidya Manian

    Published 2025-01-01
    “…A graph convolutional network (GCN) processes stacked input-abundance maps, senders, and receivers to refine the abundance estimations. …”
    Get full text
    Article
  20. 1940

    Improved Quaternion Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Image by Xinpeng Wang, Bingo Wing-Kuen Ling, Long Yu, Shaopeng Liu, Jiandong Zhao, Weichao Kuang

    Published 2025-01-01
    “…Finally, spatial filtering is used to extract spatial information, and the distance quotient formula between classes is proposed as the standard for selecting the the optimal number of stacking layers for the filter. Experimental results show that this method is effective compared with deep learning method and and other traditional machine learning methods, especially in the case of small samples.…”
    Get full text
    Article