Search alternatives:
selection » detection (Expand Search)
Showing 1 - 4 results of 4 for search 'Multithreshold selection', query time: 0.04s Refine Results
  1. 1

    Self-defined dual charge percolation networks for solution-processed multithreshold transistors by Jung Woo Moon, Seunghan Kim, Jin Hyeon Kim, Sunil V. Barma, Sang Young Jeong, Jinho Keum, Ho Sun Lim, Youngjae Yoo, Han Young Woo, Sae Byeok Jo, Moon Sung Kang, Jeong Ho Cho

    Published 2024-12-01
    “…Abstract This study demonstrates multithreshold engineering of a solution-processed heterojunction electrochemical transistor using a blend of n-type CdSe tetrapod-shaped nanocrystals (TpNCs) and an n-type polymeric organic semiconductor (OSC). …”
    Get full text
    Article
  2. 2
  3. 3

    Satellite Images Unsupervised Classification Using Two Methods Fast Otsu and K-means by Baghdad Science Journal

    Published 2011-06-01
    “…Two unsupervised classifiers for optimum multithreshold are presented; fast Otsu and k-means. The unparametric methods produce an efficient procedure to separate the regions (classes) by select optimum levels, either on the gray levels of image histogram (as Otsu classifier), or on the gray levels of image intensities(as k-mean classifier), which are represent threshold values of the classes. …”
    Get full text
    Article
  4. 4