Skip to content
View Rana1155107's full-sized avatar

Block or report Rana1155107

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. Finite-Difference-Solution-of-Heat-Conduction-Equation- Finite-Difference-Solution-of-Heat-Conduction-Equation- Public

  2. Average-Nusselt-Number-Prediction Average-Nusselt-Number-Prediction Public

    Synthetic CFD dataset for predicting average Nusselt number using machine learning models. Features include Reynolds number, Richardson number, Prandtl number, and nanoparticle volume fraction.

    Jupyter Notebook

  3. Advanced-ML-for-CFD-Based-Heat-Transfer-Prediction Advanced-ML-for-CFD-Based-Heat-Transfer-Prediction Public

    This project applies machine learning to predict the average Nusselt number using a multi-parameter CFD-inspired dataset. Multiple regression models are trained and compared to capture nonlinear he…

    Jupyter Notebook

  4. ML-Based-Prediction-of-Aerodynamic-Coefficients-for-Airfoils-Across-Multiple-Flow-Regimes ML-Based-Prediction-of-Aerodynamic-Coefficients-for-Airfoils-Across-Multiple-Flow-Regimes Public

    This project applies machine learning to predict airfoil lift and drag coefficients using flow conditions and geometric parameters. Multiple regression models are compared to capture nonlinear aero…

  5. Machine-Learning-Based-Prediction-of-Hemodynamic-Indicators-in-Arterial-Blood-Flow Machine-Learning-Based-Prediction-of-Hemodynamic-Indicators-in-Arterial-Blood-Flow Public

    Developed machine-learning surrogate models to predict hemodynamic indicators in arterial blood flow using geometry and flow parameters, with applications to cardiovascular disease analysis.