Intelligent Product Quality Failure Prediction System in Smart Factories Based on Machine Learning Techniques

Tainá da Rocha, Anderson Luis Szejka, Osíris Canciglieri Júnior. Intelligent Product Quality Failure Prediction System in Smart Factories Based on Machine Learning Techniques. In Linda B. Newnes, Susan Lattanzio, Bryan R. Moser, Josip Stjepandic, Nel Wognum, editors, Transdisciplinary Engineering for Resilience: Responding to System Disruptions - Proceedings of the 28th ISTE International Conference on Transdisciplinary Engineering, TE 2021, virtual, July 5-9, 2021. Volume 16 of Advances in Transdisciplinary Engineering, pages 161-170, IOS Press, 2021. [doi]

@inproceedings{RochaSJ21,
  title = {Intelligent Product Quality Failure Prediction System in Smart Factories Based on Machine Learning Techniques},
  author = {Tainá da Rocha and Anderson Luis Szejka and Osíris Canciglieri Júnior},
  year = {2021},
  doi = {10.3233/ATDE210094},
  url = {https://doi.org/10.3233/ATDE210094},
  researchr = {https://researchr.org/publication/RochaSJ21},
  cites = {0},
  citedby = {0},
  pages = {161-170},
  booktitle = {Transdisciplinary Engineering for Resilience: Responding to System Disruptions - Proceedings of the 28th ISTE International Conference on Transdisciplinary Engineering, TE 2021, virtual, July 5-9, 2021},
  editor = {Linda B. Newnes and Susan Lattanzio and Bryan R. Moser and Josip Stjepandic and Nel Wognum},
  volume = {16},
  series = {Advances in Transdisciplinary Engineering},
  publisher = {IOS Press},
  isbn = {978-1-64368-209-9},
}