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Data-Driven Insights through Industrial Retrofitting: An Anonymized Dataset with Machine Learning Use Cases
Small and medium-sized enterprises (SMEs) often encounter practical challenges and limitations when extracting valuable insights from the data of retrofitted or brownfield equipment. The existing literature fails to reflect the full reality and potential of data-driven analysis in current SME enviro...
| 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/PMC10346308/ https://www.ncbi.nlm.nih.gov/pubmed/37447927 http://dx.doi.org/10.3390/s23136078 |