Nurakhov Y 1

1. A Hybrid Machine Learning Approach for High-Accuracy Energy Consumption Prediction Using Indoor Environmental Quality Sensors
2. A Review of Artificial Intelligence and Deep Learning Approaches for Resource Management in Smart Buildings
3. Development and evaluation of an intelligent control system for sustainable and efficient energy management
4. Integrating Machine Learning with Intelligent Control Systems for Flow Rate Forecasting in Oil Well Operations
5. IoT-Based Unsupervised Learning for Characterizing Laboratory Operational States to Improve Safety and Sustainability
6. Implementation Of The Solution To The Oil Displacement Problem Using Machine Learning Classifiers And Neural Networks
7. A Machine Learning Approach to Investigating Key Performance Factors in 5G Standalone Networks
8. Adaptive Software-Defined Network Control Using Kernel-Based Reinforcement Learning: An Empirical Study
9. Development of an Intelligent Oil Field Management System based on Digital Twin and Machine Learning
1