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We developed a deep-learning pipeline using a U-Net–type encoder–decoder architecture for precise pixel-level CTC discrimination in peripheral blood nucleated cells (PBNCs). This method preserves ...
March 11, 2021 -- Allegro DVT, the leading provider of video processing silicon IPs, today announced the release of new versions of its D3x0 and E2x0 decoder and encoder IPs with extended of sample ...
The existing deep learning based reversible data hiding (RDH) predictors typically adopt standard convolutions for extracting features, which inherently fails to capture contextual information across ...
This article presents a novel method for measuring the mass flow rate of gas-liquid two-phase flow based on the multi-sensor data fusion and soft computing model. A multi-sensor system comprising a ...
We used three different BERT pretrained models to encode the peptide segments in our datasets, which are the initial natural language BERT-Base model released by Google Research (Devlin et al., 2019), ...
Our model achieved competitive results, mainly owing to the design of sequence-based, structural, biochemical, and statistical multisource features. Moreover, different encoders constructed based on ...
Contribute to Ellie749/Seq2Seq-LSTM-Encoder-Decoder-Translation-Eng-to-Spanish development by creating an account on GitHub.