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1
ADAM: Adaptive Monitoring of Runtime Anomalies in Small Unc..:
, In:
Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
,
Islam, Md Nafee Al
;
Cleland-Huang, Jane
;
Vierhauser, Michael
- p. 44-55 , 2024
Link:
https://dl.acm.org/doi/10.1145/3643915.3644092
RT T1 <cTitle>Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems</cTitle>: T1 <Title>ADAM: Adaptive Monitoring of Runtime Anomalies in Small Uncrewed Aerial Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3644092&Exemplar=1&LAN=DE A1 Islam, Md Nafee Al A1 Cleland-Huang, Jane A1 Vierhauser, Michael PB ACM YR 2024 K1 adaptive monitoring K1 drone K1 sUAS K1 anomaly detection K1 self-adaptive systems K1 UAV K1 Software and its engineering K1 Software notations and tools K1 Development frameworks and environments K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Sensors and actuators K1 Real-time systems K1 Real-time operating systems SP 44 OP 55 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3643915.3644092 DO https://dl.acm.org/doi/10.1145/3643915.3644092 SF ELIB - SuUB Bremen
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