AZoM

AI Uses Crystal Symmetry to Find New Antiferromagnets for Spintronics

CDVAE, a symmetry-aware generative AI framework that embeds space-group information into the generation of crystal structures ...
Nature

Heterogeneous graph convolutional network for rumor detection with multi-level interactive fusion and graph reconstruction

With the rapid development of mobile Internet technology, online social networks are gradually integrated in people’s lives, entertainment and work. Rumor information appears accompanied by the ...
Nature

Transferable polychromatic optical encoder for neural networks

Artificial neural networks have fundamentally transformed the field of computer vision, providing unprecedented performance. However, these neural networks for image processing demand substantial ...
Scientific Research Publishing

Li, F., Qiao, H. and Zhang, B. (2018) Discriminatively Boosted Image Clustering with Fully Convolutional Auto-encoders. Pattern Recognition, 83, 161-173.

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
Scientific Research Publishing

Mao, X.J., Shen, C. and Yang, Y.B. (2016) Image Restoration Using Convolutional Auto-Encoders with Symmetric Skip Connections.

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...
IEEE

Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks

Abstract: Noninvasive fetal electrocardiography (ECG) is prevalently used for monitoring fetal heartbeats during pregnancy due to its affordability, ease of use, and constant monitoring capability. A ...
IEEE

Optimizing the Hyperparameters of Fully Convolutional Encoder–Decoder Networks for SAR Image Segmentation

Abstract: Fully convolutional encoder-decoder networks have been developed for the segmentation of sensing synthetic aperture radar (SAR) images. A recent one called the multiscaled attention U-net ...