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In data analysis, anomaly detection is one of the widely used techniques for data classification. These algorithms are used in variety of applications such as network intrusion detection, Health ...

One significant development has been the integration of data reconciliation with artificial neural network modelling, which has demonstrated marked improvements in the accuracy and robustness of ...

DATA RECONCILIATION AND GROSS ERROR DETECTION IN PROCESS PLANTS. The main assumption in all commercial Data Reconciliation is that measurement values correspond to steady state. For this reason, only ...

Due to the complexity and dynamics of manufacturing processes, there are various production anomalies in a discrete manufacturing workshop, which have a strong impact on manufacturing quality and ...

Another way to prevent and detect errors is to use root cause analysis (RCA), which is a method of finding and solving the underlying causes of errors, rather than just the symptoms or effects.

AI solutions are changing the world and our familiar working environment in a positive way. Also in NDE. Here, artificial intelligence is providing significant improvements in inspection processes – ...

With the “Integrity Guard” for the first time in chip card history, security microcontrollers are equipped with comprehensive error-detection capabilities and full on-chip encryption over the complete ...

Due to the complexity and dynamics of manufacturing processes, there are various production anomalies in a discrete manufacturing workshop, which have a strong impact on manufacturing quality and ...