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Poster Abstract: Towards a Predictive Model for Improved Pl..:
, In:
2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI)
,
Cabral, Alex
;
Waldo, Jim
;
Mueller, Amy V.
- p. 215-216 , 2024
Link:
https://doi.org/10.1109/IoTDI61053.2024.00023
RT T1 <cTitle>2024 IEEE/ACM Ninth International Conference on Internet-of-Things Design and Implementation (IoTDI)</cTitle>: T1 <Title>Poster Abstract: Towards a Predictive Model for Improved Placement of Solar-Powered Urban Sensing Nodes</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10562191&Exemplar=1&LAN=DE A1 Cabral, Alex A1 Waldo, Jim A1 Mueller, Amy V. YR 2024 K1 Smart cities K1 Solar energy K1 Machine learning K1 Predictive models K1 Reliability engineering K1 Data models K1 Sensors K1 urban sensing K1 energy harvesting K1 sensor networks SP 215 OP 216 LK http://dx.doi.org/https://doi.org/10.1109/IoTDI61053.2024.00023 DO https://doi.org/10.1109/IoTDI61053.2024.00023 SF ELIB - SuUB Bremen
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