SFGAE: a self-feature-based graph autoencoder model for miRNA-disease associations prediction
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac340
Abstract: Increasing evidence has suggested that microRNAs (miRNAs) are important biomarkers of various diseases. Numerous graph neural network (GNN) models have been proposed for predicting miRNA-disease associations. However, the existing GNN-based methods have over-smoothing issue-the learned… read more here.
Keywords: disease; feature embeddings; self feature; disease associations ... See more keywords
Visual Detection of Surface Defects Based on Self-Feature Comparison in Robot 3-D Printing
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app10010235
Abstract: Fused Deposition Modeling (FDM) additive manufacturing technology is widely applied in recent years. However, there are many defects that may affect the surface quality, accuracy, or even cause the collapse of the parts in the… read more here.
Keywords: detection; robot printing; surface; feature extraction ... See more keywords