Experimental and machine learning modeling for predicting electrical conductivity property for MWCNTs based composites
The present study aims to identify the best suitable Machine Learning (ML) model to predict the Electrical Conductivity (EC) and also to determine the most influencing feature parameter on the EC. In the view of Electromagnetic Interference (EMI) shielding materials, the EC property is an important parameter for elec...