Genetic algorithms can automate data preparation, feature selection, and hyperparameter tuning in machine learning. Learn to ...

Encoding categorical data is a crucial step in data preprocessing. By converting categorical data into a numeric format, machine learning models can interpret and work more effectively.

The model is based on a two-step Deep Operator Network (DeepONet) architecture that includes symmetry-preserving features to handle the geometric characteristics of architected materials. The paper ...