Symagulov A 1

1. Application of Machine Learning Methods to Assess Filtration Properties of Host Rocks of Uranium Deposits in Kazakhstan
2. Coverage Path Planning Optimization of Heterogeneous UAVs Group for Precision Agriculture
3. Determination of Reservoir Oxidation Zone Formation in Uranium Wells Using Ensemble Machine Learning Methods
4. Estimation of the Water Level in the Ili River from Sentinel-2 Optical Data Using Ensemble Machine Learning
5. Exploring the health care system’s representation in the media through hierarchical topic modeling
6. Fast Detection of Plants in Soybean Fields Using UAVs, YOLOv8x Framework, and Image Segmentation
7. From classical machine learning to deep neural networks: A simplified scientometric review
8. Operational Mapping of Salinization Areas in Agricultural Fields Using Machine Learning Models Based on Low-Altitude Multispectral Images
9. Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges
10. Review of some applications of unmanned aerial vehicles technology in the resource-rich country
11. Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8,9 OLI Data with Machine Learning Models
12. Using Pseudo-Color Maps and Machine Learning Methods to Estimate Long-Term Salinity of Soils
13. An Algorithm for Planning Coverage of an Area with Obstacles with a Heterogeneous Group of Drones Using a Genetic Algorithm and Parameterized Polygon Decomposition
14. Analysis of the Correlation between Mass-Media Publication Activity and COVID-19 Epidemiological Situation in Early 2022
15. Mass media as a mirror of the covid-19 pandemic
16. Comparative Reliability Analysis of Unmanned Aerial Vehicle Swarm Based on Mathematical Models of Binary-State and Multi-State Systems
17. Review of Reliability Assessment Methods of Drone Swarm (Fleet) and a New Importance Evaluation Based Method of Drone Swarm Structure Analysis
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