Mar 26, 2023 · We develop a deep-learning-based algorithm called stacked denoising autoencoder for MTDR (SDAE-MTDR), where three denoising autoencoders are trained in order ...

To overcome these issues, we investigate a novel service architecture of traffic sensing based on mobile edge computing where collected data is pre-processed at ...

A novel service architecture of traffic sensing based on mobile edge computing where collected data is pre-processed at the edge node and reconstructed at ...

To overcome these issues, we investigate a novel service architecture of traffic sensing based on mobile edge computing where collected data is pre-processed at ...

This study proposes an image reconstruction algorithm that addresses the problem of low quality in image reconstruction.

Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing · Article · Publisher preview available. March 2023. ·. 53 Reads.

SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction · 19 Citations · 51 References.

Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing. Neural Computing and Applications. 2023-07 | Journal article.

Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing · Penglin Dai, Jingtao Luo, Kangli Zhao, Huanlai Xing, Xiao Wu.

Stacked denoising autoencoder for missing traffic data reconstruction via mobile edge computing. Penglin Dai; Jingtao Luo; Xiao Wu. Original Article 26 March ...