Results 101 to 110 of about 961,218 (296)
Accelerating Singular Spectrum Transformation for Scalable Change Point Detection
The Singular Spectrum Transformation (SST) is a powerful technique for Change Point Detection (CPD) and is widely applied in time series analysis to identify abrupt structural changes. Due to the involvement of the Singular Value Decomposition (SVD), the
Lucas Weber, Richard Lenz
doaj +1 more source
On-line outlier and change point detection for time series
The detection of outliers and change points from time series has become research focus in the area of time series data mining since it can be used for fraud detection, rare event discovery, event/trend change detection, etc.
Liu F(刘芳) +3 more
core
Long signal change-point detection
International audienceThe detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance.
David M. Mason +6 more
core +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
General vector model of the noise stochastic signals with piece-stationary and pieceperiodic stochastic processes is presented. Using statistical estimation of the time change points of the indicated components on the well-known detection methods gives
Shcherbak, L.M. +4 more
core
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Dimension-agnostic change point detection
Change point testing for high-dimensional data has attracted a lot of attention in statistics and machine learning owing to the emergence of high-dimensional data with structural breaks from many fields. In practice, when the dimension is less than the sample size but is not small, it is often unclear whether a method that is tailored to high ...
Hanjia Gao, Runmin Wang, Xiaofeng Shao
openaire +2 more sources
Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes +4 more
wiley +1 more source
A Review of Some Change-Point Detection Methods [PDF]
The irregularity detection problem has an extremely wide range of applications thatvaries from vital critical to completely scientific. Statistically testing structural change problemsis an important subject.
Doğan, Nurhan, Doğan, İsmet
core +1 more source

