daribayev-b 1

1. A Quantum Approach for Exploring the Numerical Results of the Heat Equation
2. Implementation of the HHL Algorithm for Solving the Poisson Equation on Quantum Simulators
3. Implementation Of The Solution To The Oil Displacement Problem Using Machine Learning Classifiers And Neural Networks
4. Quantum–Classical Hybrid Architecture for Solving the Muskat–Leverett Model
5. Comparative analysis of parallel algorithms for solving oil recovery problem using cuda and opencl
6. Numerical simulation of multiphase multicomponent flow in porous media: Efficiency analysis of newton‐based method
7. IMPLEMENTATION OF REGRESSION ALGORITHMS FOR OIL RECOVERY PREDICTION
8. Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting
9. A Hybrid Quantum–Classical Architecture with Data Re-Uploading and Genetic Algorithm Optimization for Enhanced Image Classification
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