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Time Series Error Detection Solution based on REFII Model and Concept of Nontemporal Expansion

Goran Klepac

Sažetak

Paper describes novel approach in error detection in technical systems, where errors can be represented as time series. Novelty is in usage of REFII model combined with concept of non-temporal expansion which gives opportunity for recognition of events and attributes which in certain conditions mostly contribute to errors.
https://ceur-ws.org/Vol-3900/

Ključne riječi

Data scienceAITime seriesREFIInontemporal expansion