The structure of the encoder and decoder is shown in Table 1 ... To enhance the timeliness of warnings, it is recommended to use a deep autoencoder as a feature extraction model, utilizing the ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...

Sofia Marie Haley does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations ...

To address the aforementioned limitations, this article proposes a multisource data fusion classification method based on a cross-modal cascaded encoder-decoder network (CCEnd-Net). The proposed ...

When home computers first appeared, disk drives were an expensive rarity. Consumers weren’t likely to be interested in punch cards or paper tape, but most people did have consumer-grade audio ...

This is the repository for the implémentation and expérimentation with Perceptron, MLP and auto-encoder architectures. - Hoecine/Implementation-MLP-AUTOENCODER-from-scratch ...