fig9

Deep learning for enhanced porosity detection in AZ91 magnesium alloys using windowed perception and aggregated sensing

Figure 9. The excitation layer processes the input features using a Sigmoid activation function, and channel-wise multiplication combines the Sigmoid-activated features with the input feature maps through an element-wise product, ultimately generating the output feature maps.

Journal of Materials Informatics
ISSN 2770-372X (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/