Deep Learning for Operating Performance Assessment of Industrial Processes with Layer Attention-Based Stacked Performance-Relevant Denoising Auto-Encoders
Sign Up to like & getrecommendations! Published in 2023 at "ACS Omega"
DOI: 10.1021/acsomega.3c00414
Abstract: The operating performance of a process may degenerate due to process interferences and operation errors, which cancel the benefits of technology design and economic production. Traditional operating performance assessment methods are either lack of real-time… read more here.
Keywords: performance assessment; layer attention; operating performance; performance relevant ... See more keywords
Stacked Residual Recurrent Neural Networks With Cross-Layer Attention for Text Classification
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DOI: 10.1109/access.2020.2987101
Abstract: Text classification is a fundamental task in natural language processing and is essential for many tasks like sentiment analysis and question classification etc. As we all know, different NLP tasks require different linguistic features. Tasks… read more here.
Keywords: text classification; layer attention; cross layer; stacked residual ... See more keywords
Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2022.1009099
Abstract: The accurate prediction of potential associations between microRNAs (miRNAs) and small molecule (SM) drugs can enhance our knowledge of how SM cures endogenous miRNA-related diseases. Given that traditional methods for predicting SM-miRNA associations are time-consuming… read more here.
Keywords: graph convolutional; network; mirna associations; layer attention ... See more keywords