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Lately, the application of TKEO was extended to detect abrupt changes in broadband biological signals (i.e., spike detection of neurological signals) (Atit et al. 1999; Mukhopadhyay and Ray 1998; Sherman et al. 1998).
Online adaptation of these weighting parameters helps to detect abrupt, intermittent, and incipient faults accurately.
Hydrological model could be used to detect abrupt change of s runoff series by analyzing simulation errors of hydrological processes.
Chu and Zhao [5, 6] applied a hierarchical Bayesian change point analysis to detect abrupt shifts in the TC time series over the central North Pacific (CNP).
Sequential Cluster Analysis is a commonly used statistical method to detect abrupt change point of runoff series by pursuing the minimum sum of squared deviations Sn(t) for the series before and after the abrupt change point, viz.
To detect abrupt and gradual transitions of 3D video, the Euclidean distance between the histograms of point distance and three thresholds are used, where the threshold values were derived empirically.
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These terms have been used to design fuzzy rules for detecting abrupt changes and gradual changes.
The detected abrupt falls of the TE curve (red points) occur before the start time of the bifurcations.
This flexible modeling through the logistic functions has the advantage of detecting abrupt and smooth transitions between segments.
Temporal patterns are identified by detecting abrupt increases of frequencies of noun phrases extracted from titles and abstracts of DKE papers over time.
The proposed method detects abrupt scene changes between adjacent frames by computing the proportion of invalid pixels with respect to the total number of pixels in the observed LR frame of size [M × N]: 1 M N ∑ k = 1 M N I ( d k ( t ) ) ≥ T h, w h e r e I ( d k ( t ) ) = 1 i f d k 2 ( t ) > γ. 0 o t h e r w i s e. (15).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com