To address these challenges, we propose a novel Map-informed Adaptive Spatio-Temporal Autoencoder, which follows an encoder-decoder architecture for trajectory recovery.

MECFormer consists of autoencoder, encoder, and dual-path aggregation decoder. First, the autoencoder extracts multi-scale exposure features representing the level of input exposure. Second, the ...

The convolutional autoencoder consists of an encoder and a decoder. The special feature is that the convolutional autoencoder uses a convolutional layer to replace the fully connected layer in the ...

That said, applying a neural autoencoder anomaly detection system to tabular data is typically the best way to start. A limitation of the autoencoder architecture presented in this article is that it ...

Besides, for the autoencoder mentioned above communication system using a conventional network architecture, although the designed method can achieve BER improvement, its gain is small, and the end-to ...

Keywords: neural decoder, image reconstitution, brain-inspired ANNs, loss functions, autoencoder Citation: Li W, Zheng S, Liao Y, Hong R, He C, Chen W, Deng C and Li X (2023) The brain-inspired ...