Murzabekova G 1

1. Applying textural Law’s masks to images using machine learning
2. EFFECTIVENESS OF THE USE OF ALGORITHMS AND METHODS OF ARTIFICIAL TECHNOLOGIES FOR SIGN LANGUAGE RECOGNITION FOR PEOPLE WITH DISABILITIES
3. Deep neural networks for removing clouds and nebulae from satellite images
4. A System-Level Approach to Pixel-Based Crop Segmentation from Ultra-High-Resolution UAV Imagery
5. The extraction of a brief summary from scientific documents using machine learning methods
6. Using deep learning algorithms to classify crop diseases
7. Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods
8. Application of informative textural Laws masks methods for processing space images
9. The effectiveness of methods and algorithms for detecting and isolating factors that negatively affect the growth of crops
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