Environmental sensor placement with convolutional Gaussian neural processes
- DOI
- 10.1017/eds.2023.22
- Published
- January
- Container
- Environmental Data Science
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1017/eds.2023.22,
title = {Environmental sensor placement with convolutional Gaussian neural processes},
author = {Tom R. Andersson and Wessel P. Bruinsma and Stratis Markou and James Requeima and Alejandro Coca-Castro and Anna Vaughan and Anna-Louise Ellis and Matthew A. Lazzara and Dani Jones and Scott Hosking and Richard E. Turner},
year = {2023},
journal = {Environmental Data Science},
doi = {10.1017/eds.2023.22},
url = {https://doi.org/10.1017/eds.2023.22}
}RIS
TY - JOUR TI - Environmental sensor placement with convolutional Gaussian neural processes AU - Tom R. Andersson AU - Wessel P. Bruinsma AU - Stratis Markou AU - James Requeima AU - Alejandro Coca-Castro AU - Anna Vaughan AU - Anna-Louise Ellis AU - Matthew A. Lazzara AU - Dani Jones AU - Scott Hosking AU - Richard E. Turner PY - 2023 JO - Environmental Data Science DO - 10.1017/eds.2023.22 UR - https://doi.org/10.1017/eds.2023.22 ER -
APA
Andersson, T. R., Bruinsma, W. P., Markou, S., Requeima, J., Coca-Castro, A., Vaughan, A., Ellis, A., Lazzara, M. A., Jones, D., Hosking, S., & Turner, R. E. (2023). Environmental sensor placement with convolutional Gaussian neural processes. Environmental Data Science. https://doi.org/10.1017/eds.2023.22
Source records
- doaj · retrieved 2026-09-26T10:31:01.020Z