Imankulov T 1
1. A Hybrid Machine Learning Approach for High-Accuracy Energy Consumption Prediction Using Indoor Environmental Quality Sensors
2. A Pilot Study on Thermal Comfort in Young Adults: Context-Aware Classification Using Machine Learning and Multimodal Sensors
3. A Review of Artificial Intelligence and Deep Learning Approaches for Resource Management in Smart Buildings
4. AI-Powered Building Ecosystems: A Narrative Mapping Review on the Integration of Digital Twins and LLMs for Proactive Comfort, IEQ, and Energy Management
5. IoT-Based Unsupervised Learning for Characterizing Laboratory Operational States to Improve Safety and Sustainability
6. A Quantum Approach for Exploring the Numerical Results of the Heat Equation
7. Implementation of the HHL Algorithm for Solving the Poisson Equation on Quantum Simulators
8. Implementation Of The Solution To The Oil Displacement Problem Using Machine Learning Classifiers And Neural Networks
9. Quantum–Classical Hybrid Architecture for Solving the Muskat–Leverett Model
10. A Systematic Analysis of Physics-Informed Neural Networks for Two-Phase Flow with Capillarity: The Muskat–Leverett Problem
11. Comparative analysis of parallel algorithms for solving oil recovery problem using cuda and opencl
12. Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset
13. Numerical simulation of multiphase multicomponent flow in porous media: Efficiency analysis of newton‐based method
14. Performance and stability of physics-informed Kolmogorov-Arnold networks for two-phase transport in porous media: A comparative study with physics-informed neural networks
15. Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning
16. Coupled pressure and saturation prediction for two-phase flow in porous media using physics-informed neural networks (PINNs)
17. IMPLEMENTATION OF REGRESSION ALGORITHMS FOR OIL RECOVERY PREDICTION
18. Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting
19. A Machine Learning Approach to Investigating Key Performance Factors in 5G Standalone Networks
20. FORECASTING OF THE EPIDEMIC PROPAGATION BASED ON SOLVING THE INVERSE PROBLEM FOR DISCRETE AND CONTINUOUS MATHEMATICAL MODELS OF EPIDEMICS WITH VACCINATION
21. MATHEMATICAL MODELING OF EPIDEMIC PROPAGATION WITH VACCINATION
22. MATHEMATICAL MODELING OF THE EPIDEMIC PROPAGATION WITH LIMITED TIME SPENT IN COMPARTMENTS AND VACCINATION
23. STABILIZING THE SYSTEM IN THE PROBLEM OF EPIDEMIC SPREAD LIMITED TIME OF IMMUNIZATION
24. A Wearable IoT-Based Measurement System for Real-Time Cardiovascular Risk Prediction Using Heart Rate Variability
25. Digital Cardiovascular Twins, AI Agents, and Sensor Data: A Narrative Review from System Architecture to Proactive Heart Health
1