The goal of the MICS (Made in Italy, Circular and Sustainable) project is to develop new models and techniques to support the entire pipeline for applying Data Science algorithms to data from industrial processes. Although many libraries and tools are already available to aid the analysis of data, we believe that each different application domain requires individual study to propose appropriate methods and tools that accommodate the specific peculiarities of its data. In this position paper, we discuss the following points by also outlining our case studies.
The MICS Project: A Data Science Pipeline for Industry 4.0 Applications / Cristaldi, L.; Esmaili, P.; Gruosso, G.; Bella, A. L.; Mecella, M.; Scattolini, R.; Arman, A.; Susto, G. A.; Tanca, L.. - (2023), pp. 427-431. (Intervento presentato al convegno 2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 tenutosi a ita) [10.1109/MetroXRAINE58569.2023.10405727].
The MICS Project: A Data Science Pipeline for Industry 4.0 Applications
Mecella M.
;Arman A.
;
2023
Abstract
The goal of the MICS (Made in Italy, Circular and Sustainable) project is to develop new models and techniques to support the entire pipeline for applying Data Science algorithms to data from industrial processes. Although many libraries and tools are already available to aid the analysis of data, we believe that each different application domain requires individual study to propose appropriate methods and tools that accommodate the specific peculiarities of its data. In this position paper, we discuss the following points by also outlining our case studies.| File | Dimensione | Formato | |
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