Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring

Ruomu Tan, James R. Ottewill, Nina F. Thornhill

Open source

DOI
10.1109/tnnls.2019.2945847
Published
2020-09
Container
IEEE Transactions on Neural Networks and Learning Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/tnnls.2019.2945847,
  title = {Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring},
  author = {Ruomu Tan and James R. Ottewill and Nina F. Thornhill},
  year = {2020},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  doi = {10.1109/tnnls.2019.2945847},
  url = {https://doi.org/10.1109/tnnls.2019.2945847}
}

RIS

TY  - JOUR
TI  - Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring
AU  - Ruomu Tan
AU  - James R. Ottewill
AU  - Nina F. Thornhill
PY  - 2020
JO  - IEEE Transactions on Neural Networks and Learning Systems
DO  - 10.1109/tnnls.2019.2945847
UR  - https://doi.org/10.1109/tnnls.2019.2945847
ER  - 

APA

Tan, R., Ottewill, J. R., & Thornhill, N. F. (2020). Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2019.2945847

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