Implementation of Principal Component Analysis For Use in Anomaly Detection Using CUDA
As more and more systems are connected, a large benefit is found in being able to find and predict problems in the monitored process. By analyzing the data in real time, feedback can be generated to the operators or the process allowing the process to correct itself. This thesis implements and evalu...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Programvara och system
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160475 |