Machine Learning Techniques for Turbulence Analysis and Simulation
The research presents a thorough review of machine learning algorithms for predicting
turbulence intensity in fluid dynamics, based on both Direct Numerical Simulation (DNS) and …
turbulence intensity in fluid dynamics, based on both Direct Numerical Simulation (DNS) and …
Survey of Machine Learning Applications in Wind Power Implementation: A Comprehensive View
K Mammadov, I Novruzova, N Hasanova… - 2024 IEEE 18th …, 2024 - ieeexplore.ieee.org
The transition to renewable energy sources is essential for mitigating climate change, with
wind power being a crucial component due to its maturity and scalability. However, the …
wind power being a crucial component due to its maturity and scalability. However, the …
SQLSynthGen: Generating Synthetic Data for Healthcare Databases
RS Raja - 2025 IEEE 4th International Conference on AI in …, 2025 - ieeexplore.ieee.org
Synthetic data generation is crucial for leveraging machine learning in healthcare without
compromising patient privacy. SQLSynthGen (SSG) offers a solution by generating synthetic …
compromising patient privacy. SQLSynthGen (SSG) offers a solution by generating synthetic …
Transparent Decisions: Selective Information Disclosure To Generate Synthetic Data
The UK government and the public wish to see the National Health Service (NHS) use data
and Artificial Intelligence for public good [13][16]. However, there is a major challenge in …
and Artificial Intelligence for public good [13][16]. However, there is a major challenge in …