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Works cited by this work

9 works

Work: ARTIFICIAL NEURAL NETWORK BASED GRAIN MOISTURE MEASURING DEVICE

  1. Increasing the Accuracy of Calibration Device for Measuring the Moisture of Bulk Materials

    Erkin Uljaev, Shohrukh Nurali o‘g‘li Narzullayev, Ubaydullayev Utkir +1

    ChapterEngineering Technology and MethodologiesLecture notes in networks and systems202110 citations
    ABI

  2. APPLICATION OF EXPERT SYSTEMS FOR MEASURING THE HUMIDITY OF BULK MATERIALS

    E. Uljayev, Utkirjon Murodillaevich Ubaydullaev, Sh. N. Narzullayev +28

    ArticleModeling, Simulation, and OptimizationInternational Journal of Mechatronics and Applied Mechanics20215 citations
    ABI

  3. Intellectual Device for Measuring the Humidity of Bulk Materials

    E. Uljayev, U. M. Ubaydullayev, Sh. N. Narzullayev +1

    ChapterMagnetic and Electromagnetic EffectsLecture notes in networks and systems20244 citations
    ABI

  4. Historical development of grain moisture measurement and other food quality sensing through electrical properties

    Stuart O. Nelson, Samir Trabelsi

    Article20163 citations
    ABI

  5. Determining moisture content of wheat with an artificial neural network from microwave transmission measurements

    P.G. Bartley, S.O. Nelson, R. W. McClendon +1

    Article19983 citations
    ABI

  6. Development of Correction Schemes of Temperature Errors in the Moisture Meter Transformer with Cylindrical Electrodes

    Nasirov Tulkun Zakirovich, Jabborov Khamdam Shaymardonovich

    ArticleScientific Research Methodologies and ApplicationsJournal of Electrical and Electronic Engineering20222 citations
    ABI

  7. AN ARTIFICIAL NERVE NETWORK REALIZATION IN THE MEASUREMENT OF MATERIAL PERMITTIVITY

    Qian Chen, Kama Huang, Xiaoqing Yang +2

    Article20112 citations
    ABI

  8. The use of time division of the channels in capacitive and inductive sensor measuring circuits

    V. P. Arbuzov

    Article20072 citations
    ABI

  9. Untitled

    Other1 citations
    ABI