In the context of artificial intelligence (AI), "noise" refers to irrelevant, random, or erroneous data that can interfere with the learning process of AI models, reducing their accuracy and ...

Regularization is a technique used in logistic regression to prevent overfitting and improve model generalization. It does this by adding a penalty term to the cost function, discouraging overly ...

In this study, a framework for computer-aided design high performance titanium alloys based on machine learning is proposed ... range for parameter adjustment is presented in Table 2. The ...

A hybrid loss is calculated to strengthen the alignment constraints of different structures, which combines image dissimilarity, deformation regularization ... Based on the selected features, various ...

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