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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 ...

ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal quality, particularly in the field of neural control. ECoG enables more ...

1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...

lncRNA-Py is a development package for applying machine learning and deep learning to the problem of lncRNA classification, i.e. predicting whether a novel RNA transcript is coding (mRNA) or long ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

ABSTRACT: With the widespread use of Chinese globally, the number of Chinese learners has been increasing, leading to various grammatical errors among beginners. Additionally, as domestic efforts to ...