Факультети

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https://openarchive.nure.ua/handle/document/9

Перегляд

Перегляд Факультети за Автор "Abu-Jassar Amer Tahseen"

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  • Зображення мініатюри
    Документ
    Binarization Methods in Multimedia Systems when Recognizing License Plates of Cars
    (IJAER, 2023) Abu-Jassar Amer Tahseen; Sotnik S.; Sinelnikova T.; Lyashenko V.
    This work is aimed at analyzing methods of binarization in multimedia systems when recognizing license plates of cars. In order to carry out binarization license plates, features of existing (LPC) were first analyzed. A review of most well -known classification of binarization methods was carried out, and on basis of analysis, classification was proposed, which will be divided into four general classes, which distinguishes our classification from known ones. A fallback class has also been added. As r esult, pros and cons of all binarization methods have been determined.
  • Зображення мініатюри
    Документ
    Neural Networks As A Tool For Pattern Recognition of Fasteners
    (Seventh Sense Research Group, 2021) Al-Sharo Yasser Mohammad; Abu-Jassar Amer Tahseen; Sotnik, S.; Lyashenko, V.
    The work is devoted to the study of pattern recognition features of industrial parts in individual fasteners' forms. The main types of neural network architectures and their features are considered. Neural networks are classified into separate categories for ease of perception and analysis. An approach to recognition of hardware products such as fasteners using neural network, which is implemented in Python using Keras machine learning library, is proposed. The main generators are described: for training data, testing, and validation. Codes fragments of corresponding programs for implementation of the proposed approach to pattern recognition of fasteners are presented
  • Зображення мініатюри
    Документ
    Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems
    (TEM Journal, 2021) Abu-Jassar Amer Tahseen; Al-Sharo Yasser Mohammad; Lyashenko, V.; Sotnik, S.
    Generalized formalization of recognition algorithm for specialized computer systems is presented in this paper. The structure features of image recognition methods, which have to be taken into account when developing classifiers for object recognition in specialized computer systems, are described. The fundamental types of images characteristics-features, which are used in various methods of image recognition, are discussed. Approaches to development of classifiers for recognizing robotization objects, which are implemented on basis of Haar classifiers, are discussed. The issues of using machine learning algorithm of adaptive gain AdaBoost for development of such classifiers are also considered. Utilities have been developed for implementation of classifiers for object recognition in specialized computer systems.