HIGHLIGHTS
- who: Bangerter et_al J Smart and colleagues from the di Scienze Aziendali, Management and Innovation Systems, University of Salerno, Fisciano (SA), Italy have published the Article: Journal of Smart Environments and Green Computing, in the Journal: (JOURNAL)
- what: Aim: This work proposes a workflow monitoring sensor observations over time to identify and predict relevant changes or anomalies in the cure cycle (CC) industrial process.
- how: This last model is implemented in this work specifically FLOSS is adopted . The algorithm makes the following checks At each instant 𝑖 the rate evaluated through real and predicted . . .
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