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We propose a model-based anomaly detection method that consists of two components, a dynamic regression model and an adaptive anomaly threshold.
This paper proposes a model-based anomaly detection method that consists of two components, a dynamic regression model and an adaptive anomaly threshold.
The Quantile-Quantile plot (Q-Q plot) provides a good method to distinguish different populations and to identify the background, anomalous values and extra outliers) [16], which is more objective to estimate statistically the anomaly threshold than the others [14].
The anomaly threshold values of soil gases along the co-seismic rupture zones were 13 ppm for He, 12 ppm for H2, 4.9 for N2/O2, 1.5% for CO2, 16.2 k Bq/m3 for Rn, and 39 ng/m3 for Hg (Figure 2).
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Under a predicated percentage p of anomalies, the threshold is set (gamma ^{tau }_{kappa _{l}}=sqrt{frac{1}{p}}*sigma ^{tau }_{kappa _{o}}).
Fig. 8 Results of the ionospheric data processing (Paratunka station, Kamchatka) for 22 31 August 1987: a observed (black line) and median of the f o F2 time series (gray line), b detected anomalies for a threshold coefficient U of 2.3 and a moving time window length Φ of 336 h, c estimation of the anomaly intensity, and d K-indices above three (Paratunka station).
Our anomaly detection uses thresholding approximation residual error, combined with a generic clustering technique to report a group of anomalous points as a single anomaly event.
We did not measure zero-bias anomalies at the threshold, probably because the Schottky barriers at the Ag/SWNT contact yield low transparency.
Then the hourly observations with load values outside the interval [μ L − hσ L, μ L + hσ L ] are treated as anomalies, where the threshold h is given beforehand.
Then the observations at hour i with load values outside the interval [μ L (i) − hσ L (i), μ L (i) + hσ L (i)] are treated as anomalies, where the threshold h is again given beforehand.
high values around the buried object location and low values in the rest of the region, immunity to clutter, noise, or weak soil anomaly based signals, broad threshold selection range to mark buried object location without false alarms even in the case of difficult target detection, when a constant threshold is used.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com