A Probabilistic Counting Framework for Distributed Measurements
- DOI
- 10.1109/access.2019.2899161
- Published
- 2019
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/access.2019.2899161,
title = {A Probabilistic Counting Framework for Distributed Measurements},
author = {Nicola Bonelli and Christian Callegari and Gregorio Procissi},
year = {2019},
journal = {IEEE Access},
doi = {10.1109/access.2019.2899161},
url = {https://doi.org/10.1109/access.2019.2899161}
}RIS
TY - JOUR TI - A Probabilistic Counting Framework for Distributed Measurements AU - Nicola Bonelli AU - Christian Callegari AU - Gregorio Procissi PY - 2019 JO - IEEE Access DO - 10.1109/access.2019.2899161 UR - https://doi.org/10.1109/access.2019.2899161 ER -
APA
Bonelli, N., Callegari, C., & Procissi, G. (2019). A Probabilistic Counting Framework for Distributed Measurements. IEEE Access. https://doi.org/10.1109/access.2019.2899161
Source records
- doaj · retrieved 2026-09-25T06:35:41.870Z