Transfer learning with attributes for improving the landslide spatial prediction performance in sample-scarce area based on variational autoencoder generative adversarial network

HIGHLIGHTS

• who: Mansheng Lin and colleagues from the School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou, China have published the research: Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network, in the Journal: Land 2023, 12, x FOR PEER REVIEW of 23/06/2022
• what: In the study , the original data set is purposely reconstructed with new features contained in another data set by using a variational autoencoder generative adversarial network (VAEGAN), increasing the attribute similarity between the data set . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.