Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT
- DOI
- 10.3390/s20216354
- Published
- 2020-11-07
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s20216354,
title = {Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT},
author = {Antonio Madueño Luna and Miriam López Lineros and Javier Estévez Gualda and Juan Vicente Giráldez Cervera and José Miguel Madueño Luna},
year = {2020},
journal = {Sensors},
doi = {10.3390/s20216354},
url = {https://doi.org/10.3390/s20216354}
}RIS
TY - JOUR TI - Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT AU - Antonio Madueño Luna AU - Miriam López Lineros AU - Javier Estévez Gualda AU - Juan Vicente Giráldez Cervera AU - José Miguel Madueño Luna PY - 2020 JO - Sensors DO - 10.3390/s20216354 UR - https://doi.org/10.3390/s20216354 ER -
APA
Luna, A. M., Lineros, M. L., Gualda, J. E., Cervera, J. V. G., & Luna, J. M. M. (2020). Assessing the Best Gap-Filling Technique for River Stage Data Suitable for Low Capacity Processors and Real-Time Application Using IoT. Sensors. https://doi.org/10.3390/s20216354
Source records
- crossref · retrieved 2026-09-25T23:16:38.058Z