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...

Descripción completa

Detalles Bibliográficos
Autores principales: Atzeni, Daniele, Ramjattan, Reshawn, Figliè, Roberto, Baldi, Giacomo, Mazzei, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346308/
https://www.ncbi.nlm.nih.gov/pubmed/37447927
http://dx.doi.org/10.3390/s23136078

Ejemplares similares