袗胁褌芯褉写褘遥 卸邪褉懈褟谢邪薪褘屑写邪褉褘
Imankulov, T.
袘邪褉谢褘覜 卸邪褉懈褟谢邪薪褘屑写邪褉
33
袘械谢褋械薪写褨谢褨泻 卸褘谢写邪褉褘
6
袞邪褉懈褟谢邪薪褘屑 褌爷褉谢械褉褨
3
2026 (3)
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- Performance and stability of physics-informed Kolmogorov-Arnold networks for two-phase transport in porous media: A comparative study with physics-informed neural networks
- The Impact of Generative AI on 6G Network Architecture and Service
2025 (15)
- Intelligent System for Reducing Waste and Enhancing Efficiency in Copper Production Using Machine Learning
- FORECASTING OF THE EPIDEMIC PROPAGATION BASED ON SOLVING THE INVERSE PROBLEM FOR DISCRETE AND CONTINUOUS MATHEMATICAL MODELS OF EPIDEMICS WITH VACCINATION
- IoT-Based Smart HVAC Control: Enhancing Energy Efficiency with AI
- Coupled pressure and saturation prediction for two-phase flow in porous media using physics-informed neural networks (PINNs)
- AI-Powered Building Ecosystems: A Narrative Mapping Review on the Integration of Digital Twins and LLMs for Proactive Comfort, IEQ, and Energy Management
- A Review of Artificial Intelligence and Deep Learning Approaches for Resource Management in Smart Buildings
- Quantum鈥揅lassical Hybrid Architecture for Solving the Muskat鈥揕everett Model
- A Pilot Study on Thermal Comfort in Young Adults: Context-Aware Classification Using Machine Learning and Multimodal Sensors
- A Machine Learning Approach to Investigating Key Performance Factors in 5G Standalone Networks
- Digital Cardiovascular Twins, AI Agents, and Sensor Data: A Narrative Review from System Architecture to Proactive Heart Health
- IoT-Based Unsupervised Learning for Characterizing Laboratory Operational States to Improve Safety and Sustainability
- A Systematic Analysis of Physics-Informed Neural Networks for Two-Phase Flow with Capillarity: The Muskat鈥揕everett Problem
- A Hybrid Machine Learning Approach for High-Accuracy Energy Consumption Prediction Using Indoor Environmental Quality Sensors
- A Wearable IoT-Based Measurement System for Real-Time Cardiovascular Risk Prediction Using Heart Rate Variability
- Analyzing the Impact of Air Quality on Cognitive Skills Using Machine Learning in a Smart Building Environment
2024 (5)
- Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting
- Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset
- MATHEMATICAL MODELING OF EPIDEMIC PROPAGATION WITH VACCINATION
- On the Effectiveness of Kolmogorov - Arnold Networks for Enhanced Oil Recovery Prediction in Polymer Flooding
- A Quantum Approach for Exploring the Numerical Results of the Heat Equation
2023 (2)
2022 (4)
- Using machine learning algorithms to solve polymer flooding problem
- MATHEMATICAL MODELING OF THE EPIDEMIC PROPAGATION WITH LIMITED TIME SPENT IN COMPARTMENTS AND VACCINATION
- Development of hybrid parallel computing models to solve polymer flooding problem
- IMPLEMENTATION OF REGRESSION ALGORITHMS FOR OIL RECOVERY PREDICTION
2021 (4)
- Numerical simulation of multiphase multicomponent flow in porous media: Efficiency analysis of newton鈥恇ased method
- Hybrid Architecture of Face and Action Recognition Systems for Proctoring on a Graphic Processor
- Comparative analysis of parallel algorithms for solving oil recovery problem using cuda and opencl
- Implementation Of The Solution To The Oil Displacement Problem Using Machine Learning Classifiers And Neural Networks