FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Advancing high-speed steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI) systems require effective electroencephalogram ...

Abstract: Saliency detection has achieved outstanding performance by utilizing deep encoder-decoder networks. Many of the existing saliency approaches, however, are unable to effectively process ...

Abstract: We address universal self-supervised representation learning for time series under label scarcity and distribution shifts. A key challenge is that prevalent encode-then-decompose pipelines ...

Add a description, image, and links to the convolutional-encoder-decoder topic page so that developers can more easily learn about it.

Notifications You must be signed in to change notification settings Graph Neural Networks: A Review of Methods and Applications. Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong ...

GenAI models have revolutionized bioinformatics applications by learning from massive biological datasets, genomic sequences, protein structures, and single-cell transcriptomes, without requiring ...