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9 ta ish

Ish: Models of recognition algorithms based on linear threshold functions

  1. Building a Local Classifier for Component-Based Face Recognition

    Shavkat Fazilov, Olimjon Mirzaev, Shukrullo Kakharov

    BobFace and Expression RecognitionLecture notes in computer science202315 iqtibos
    ABI

  2. Recognition Algorithms Based on the Selection of 2D Representative Pseudo-objects

    Olimjon Mirzaev, Sobirjon Radjabov, Гулмира Мирзаева +2

    BobAdvanced Computational Techniques in Science and EngineeringCommunications in computer and information science20226 iqtibos
    ABI

  3. Recognition Algorithm Models Based on the Selection of Two-Dimensional Preference Threshold Functions

    Sayyora Ibragimova, Sobirjon Radjabov, Olimjon Mirzaev +2

    BobAdvanced Computational Techniques in Science and EngineeringCommunications in computer and information science20225 iqtibos
    ABI

  4. Determination of the formation model of the phase concentration field along the section of the turbulent flow of hydrotransport using information technologies

    Kh. Sh. Ilhamov, Aybеk Arifjanov, Davronbek Narzullaev +2

    MaqolaAdvanced Theoretical and Applied Studies in Material Sciences and GeometryJournal of Physics Conference Series20213 iqtibos
    ABI

  5. Classification Algorithms with a Complex Structure in Pattern Recognition

    Akram Kh. Nishanov, Oybek Allamov, Askar Rakhmanov +2

    MaqolaAdvanced Computational Techniques in Science and Engineering20243 iqtibos
    ABI

  6. Models of Recognition Algorithms Based on Construction of Two-Dimensional Logical Classifiers

    Гулмира Мирзаева

    BobAdvanced Computational Techniques in Science and EngineeringLecture notes in networks and systems20222 iqtibos
    ABI

  7. Model of recognition algorithms based on the selection of basic objects

    Maxamadaziz Rasulmukhamedov, Olimjon Mirzaev, Shoyatbek Khakimov +1

    MaqolaNeural Networks and ApplicationsAIP conference proceedings20231 iqtibos
    ABI

  8. Selecting classifiers to ensure the quality and reliability of pattern recognition at class intersection

    Dilshod Bekmuratov

    MaqolaAdvanced Computational Techniques in Science and EngineeringJournal of Physics Conference Series20210 iqtibos
    ABI

  9. Algorithm for the Classification of Coronary Heart Disease Based on the Use of Symptom Complexes in the Cardiovascular Environment

    Akhram Kh. Nishanov, Gulomjon Primovich Juraev, Malika Khasanova +2

    BobTechnology and Human Factors in Education and HealthCommunications in computer and information science20230 iqtibos
    ABI