Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T08:12:17.757Z