Forecasting Obsolescence of Components by Using a Clustering-Based Hybrid Machine-Learning Algorithm.

Moon KS, Lee HW, Kim HJ, Kim H, Kang J, Paik WC

DOI: 10.3390/s22093244
Published: 2022 Apr 23
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s22093244,
  title = {Forecasting Obsolescence of Components by Using a Clustering-Based Hybrid Machine-Learning Algorithm.},
  author = {Moon KS and Lee HW and Kim HJ and Kim H and Kang J and Paik WC},
  year = {2022},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s22093244},
  url = {https://doi.org/10.3390/s22093244}
}

RIS

TY  - JOUR
TI  - Forecasting Obsolescence of Components by Using a Clustering-Based Hybrid Machine-Learning Algorithm.
AU  - Moon KS
AU  - Lee HW
AU  - Kim HJ
AU  - Kim H
AU  - Kang J
AU  - Paik WC
PY  - 2022
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s22093244
UR  - https://doi.org/10.3390/s22093244
ER  -

APA

KS, M., HW, L., HJ, K., H, K., J, K., & WC, P. (2022). Forecasting Obsolescence of Components by Using a Clustering-Based Hybrid Machine-Learning Algorithm.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22093244

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pubmed · retrieved 2026-09-25T15:27:03.746Z