Merembayev T 1

1. Development and experimental study of an intelligent water quality monitoring system based on the internet of things
2. Remote sensing and machine learning algorithms to predict soil salinity in southern Kazakhstan
3. Integration of Mathematical Modeling and Artificial Intelligence to Predict Thermal Conditions and Optimize the Operation of Biogas Plants
4. Modeling Siltation of River Channels Using the Physics-Informed Neural Networks Method and Numerical Simulation
5. Application of physics-informed neural networks for two-phase flow model with variable diffusion and experimental validation
6. A Comparison Of Convolutional Neural Networks For Kazakh Sign Language Recognition
7. A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan
8. Natural fracture network model using Gaussian simulation and machine learning algorithms
9. Soil Salinity Classification Using Machine Learning Algorithms and Radar Data in the Case from the South of Kazakhstan
10. Thermal Loss Analysis of a Flat Plate Solar Collector Using Numerical Simulation
11. Operational Mapping of Salinization Areas in Agricultural Fields Using Machine Learning Models Based on Low-Altitude Multispectral Images
12. Soil Salinity Estimation for South Kazakhstan Based on SAR Sentinel-1 and Landsat-8,9 OLI Data with Machine Learning Models
13. Numerical modeling and forecasting of water overflow through dams on the Syrdarya river
14. Predictive Analytics for Sucker Rod Pump Failures in Kazakhstani Oil Wells Using Machine Learning
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