This repository contains code for a comprehensive hybrid machine learning and deep learning frameworks for accurately predicting nanofluid thermal conductivity using stacking ensembles, advanced data augmentation, and metaheuristic optimization techniques.
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This repository contains code for a comprehensive hybrid machine learning and deep learning frameworks for accurately predicting nanofluid thermal conductivity using stacking ensembles, advanced data augmentation, and metaheuristic optimization techniques.
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AI4A-lab/Nanofluid-Thermophysical-Property-Prediction_Thermal-Conductivity_Hybrid-ML-DL
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This repository contains code for a comprehensive hybrid machine learning and deep learning frameworks for accurately predicting nanofluid thermal conductivity using stacking ensembles, advanced data augmentation, and metaheuristic optimization techniques.