Multisource working condition recognition via nonlinear kernel learning and p-Laplacian manifold learning

Bin Zhou, Rui Niu, Shuo Yang, Jianguo Yang, Weiwei Zhao

Open source

DOI: 10.1016/j.heliyon.2024.e26436
Published: 2024-03
Container: Heliyon
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.heliyon.2024.e26436,
  title = {Multisource working condition recognition via nonlinear kernel learning and p-Laplacian manifold learning},
  author = {Bin Zhou and Rui Niu and Shuo Yang and Jianguo Yang and Weiwei Zhao},
  year = {2024},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2024.e26436},
  url = {https://doi.org/10.1016/j.heliyon.2024.e26436}
}

RIS

TY  - JOUR
TI  - Multisource working condition recognition via nonlinear kernel learning and p-Laplacian manifold learning
AU  - Bin Zhou
AU  - Rui Niu
AU  - Shuo Yang
AU  - Jianguo Yang
AU  - Weiwei Zhao
PY  - 2024
JO  - Heliyon
DO  - 10.1016/j.heliyon.2024.e26436
UR  - https://doi.org/10.1016/j.heliyon.2024.e26436
ER  -

APA

Zhou, B., Niu, R., Yang, S., Yang, J., & Zhao, W. (2024). Multisource working condition recognition via nonlinear kernel learning and p-Laplacian manifold learning. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e26436

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crossref · retrieved 2026-11-10T13:35:36.174Z