Cloud-Empowered Data-Centric Paradigm for Smart Manufacturing

In the manufacturing industry, there are claims about a novel system or paradigm to overcome current data interpretation challenges. Anecdotally, these studies have not been completely practical in real-world applications (e.g., analytics). This article focuses on smart (SM), proposed address inconsistencies within that often caused by reasons such as: (i) realization using general algorithm, (ii) no accurate methods actual anomaly detection modules, (iii) real-time availability of insights change adapt new A case study mattress protector is used prove mining with deployment isolation forest (IF)-based machine learning (ML) algorithm cloud scenario stated above. The outcome was establishing efficient enable analysis.