Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy
- DOI
- 10.3390/s23115010
- Published
- 05
- Container
- Sensors
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s23115010,
title = {Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy},
author = {Helder Moreira Arruda and Rodrigo Simon Bavaresco and Rafael Kunst and Elvis Fernandes Bugs and Giovani Cheuiche Pesenti and Jorge Luis Victória Barbosa},
year = {2023},
journal = {Sensors},
doi = {10.3390/s23115010},
url = {https://doi.org/10.3390/s23115010}
}RIS
TY - JOUR TI - Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy AU - Helder Moreira Arruda AU - Rodrigo Simon Bavaresco AU - Rafael Kunst AU - Elvis Fernandes Bugs AU - Giovani Cheuiche Pesenti AU - Jorge Luis Victória Barbosa PY - 2023 JO - Sensors DO - 10.3390/s23115010 UR - https://doi.org/10.3390/s23115010 ER -
APA
Arruda, H. M., Bavaresco, R. S., Kunst, R., Bugs, E. F., Pesenti, G. C., & Barbosa, J. L. V. (2023). Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy. Sensors. https://doi.org/10.3390/s23115010
Source records
- doaj · retrieved 2026-09-26T13:43:24.993Z