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1 Ergebnisse
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Using Machine Learning for Dependable Outlier Detection in ..:
Jesus, Gonçalo
;
Casimiro, António
;
Oliveira, Anabela
ACM Transactions on Cyber-Physical Systems. 5 (2021) 3 - p. 1-30 , 2021
Link:
https://dl.acm.org/doi/10.1145/3445812
RT Journal T1
Using Machine Learning for Dependable Outlier Detection in Environmental Monitoring Systems
UL https://suche.suub.uni-bremen.de/peid=acm-3445812&Exemplar=1&LAN=DE A1 Jesus, Gonçalo A1 Casimiro, António A1 Oliveira, Anabela PB ACM YR 2021 SN 2378-962X SN 2378-9638 K1 Dependability K1 aquatic monitoring K1 data quality K1 machine learning K1 neural networks K1 outlier detection K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Sensor networks K1 Computing methodologies K1 Artificial intelligence K1 Knowledge representation and reasoning K1 Spatial and physical reasoning K1 Dependable and fault-tolerant systems and networks K1 Redundancy K1 Reliability K1 Applied computing K1 Physical sciences and engineering K1 Earth and atmospheric sciences K1 Environmental sciences K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Classification and regression trees K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression K1 Sensors and actuators JF ACM Transactions on Cyber-Physical Systems VO 5 IS 3 SP 1 OP 30 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3445812 DO https://dl.acm.org/doi/10.1145/3445812 SF ELIB - SuUB Bremen
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