Bruno Mota 0003, Pedro Faria, Carlos Ramos 0001. Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches. In Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero 0001, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodríguez, editors, 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings. Volume 531 of Lecture Notes in Networks and Systems, pages 13-22, Springer, 2022. [doi]
@inproceedings{0003F022-0,
title = {Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches},
author = {Bruno Mota 0003 and Pedro Faria and Carlos Ramos 0001},
year = {2022},
doi = {10.1007/978-3-031-18050-7_2},
url = {https://doi.org/10.1007/978-3-031-18050-7_2},
researchr = {https://researchr.org/publication/0003F022-0},
cites = {0},
citedby = {0},
pages = {13-22},
booktitle = {17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings},
editor = {Pablo García Bringas and Hilde Pérez García and Francisco Javier Martínez de Pisón and José Ramón Villar Flecha and Alicia Troncoso Lora and Enrique A. de la Cal and Álvaro Herrero 0001 and Francisco Martínez-Álvarez and Giuseppe Psaila and Héctor Quintián and Emilio S. Corchado Rodríguez},
volume = {531},
series = {Lecture Notes in Networks and Systems},
publisher = {Springer},
isbn = {978-3-031-18050-7},
}