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Gas concentration prediction based on SSA algorithm with CNN-BiLSTM-attention
Abstract Accurate prediction of coal mine gas concentration is a crucial prerequisite for preventing gas exceed and disasters. However, the existing methods still suffer from issues such as low data utilization, difficulty in effectively integrating multivariate nonlinear spatiotemporal features, an...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-10-01
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| Colecção: | Scientific Reports |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1038/s41598-025-15838-4 |
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