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What is Analysis of Compressive Strength of Nanostructure about?
This research investigates the use of nanostructure pyrolytic carbon (NSPC) particles in cementitious composites to enhance compressive strength, employing machine learning (ML) models for prediction. Six ML algorithms were compared, with the gradient boost regressor achieving the highest accuracy in forecasting compressive strength based on various input parameters. The study emphasizes the potential of NSPC as a sustainable nanomaterial and the effectiveness of ML approaches in predicting the mechanical p
- Author
- sarumathi
- Language
- EN