Using IoT Data-Driven Analysis of Water Consumption to support Design for Sustainable Behaviour during the COVID-19 Pandemic. Zecchini, M., Griesi, A. A., Chatzigiannakis, I., Mavrommati, I., Amaxilatis, D., & Akrivopoulos, O. In 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2021, Preveza, Greece, September 24-26, 2021, pages 1–7, 2021. IEEE.
Paper doi bibtex @inproceedings{DBLP:conf/seeda/ZecchiniGCMAA21,
author = {Marco Zecchini and
Alessandra Anna Griesi and
Ioannis Chatzigiannakis and
Irene Mavrommati and
Dimitrios Amaxilatis and
Orestis Akrivopoulos},
title = {Using IoT Data-Driven Analysis of Water Consumption to support Design
for Sustainable Behaviour during the {COVID-19} Pandemic},
booktitle = {6th South-East Europe Design Automation, Computer Engineering, Computer
Networks and Social Media Conference, {SEEDA-CECNSM} 2021, Preveza,
Greece, September 24-26, 2021},
pages = {1--7},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566237},
doi = {10.1109/SEEDA-CECNSM53056.2021.9566237},
timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/seeda/ZecchiniGCMAA21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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