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Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams
In the era of big data, industrial process data are often generated rapidly in the form of streams. Thus, how to process such sequential and high-speed stream data in real time and provide critical quality variable predictions has become a critical issue for facilitating efficient process control an...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920279/ https://www.ncbi.nlm.nih.gov/pubmed/36772560 http://dx.doi.org/10.3390/s23031520 |