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PartiSee: Anomaly Detection System Tailored for Partition C..:
, In:
2020 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA)
,
Almurayh, Abdullah
;
Alabdulhadi, Fay
;
Al-Ibrahim, Fatimah
... - p. 81-87 , 2020
Link:
https://doi.org/10.1109/CoNTESA50436.2020.9302848
RT T1 <cTitle>2020 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications (CoNTESA)</cTitle>: T1 <Title>PartiSee: Anomaly Detection System Tailored for Partition Classrooms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9302848&Exemplar=1&LAN=DE A1 Almurayh, Abdullah A1 Alabdulhadi, Fay A1 Al-Ibrahim, Fatimah A1 Ahlarbi, Khulood A1 Al-Daghfaq, Njood A1 Almuslim, Ranim YR 2020 K1 Sensors K1 Monitoring K1 Registers K1 Pressure sensors K1 Information technology K1 Hardware K1 Real-time systems K1 Anomaly detection K1 Occupancy detection K1 Wireless sensors K1 Automated attendance K1 Partition room SP 81 OP 87 LK http://dx.doi.org/https://doi.org/10.1109/CoNTESA50436.2020.9302848 DO https://doi.org/10.1109/CoNTESA50436.2020.9302848 SF ELIB - SuUB Bremen
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