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In preprocessing stage, different image processing techniques are used in order to provide enhanced data for detection task.
The paper presents Symbolic Time Series Analysis (STSA) of bearing acceleration data for detection and estimation of gradually developing parametric changes in flexible disc/diaphragm couplings.
The mean agreement of 41.3% is lower than the targeted 50% agreement but still a fine result only using ECG data for detection.
We investigated the use of the moving standard deviation index (MSDI) applied to Landsat TM band 3 data for detection and assessment of these zones in the arid grazing lands of South Australia.
We provide detailed examples for two protected areas, demonstrating the use of EO data for detection of land cover/habitat change, coupled with expert interpretation to relate such change to specific anthropogenic pressures.
The major allele frequencies were determined in all 300 obese and normal subjects, using the Sequenom data for detection of 4 common SNPs in FAAH and 16 in MGLL (data not shown).
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Surveillance using unexplained death and medical examiner data allowed for detection of 34 (18%) pandemic (H1N1) 2009–associated deaths that were not detected by hospital-based surveillance.
The resulting sidescan images offer a large data base for detection and classification algorithms.
The Big heterogeneous data for intrusion detection section discusses Big Heterogeneous Data for Intrusion Detection.
In [5, 6], Budhaditya used the compressed sensor network data for anomaly detection based on spectrum theory method and obtained satisfactory detection results in the light of residual analysis of compressed data.
Saha used the compressed sensor network data for anomaly detection based on the spectrum theory method and obtained satisfactory detection results in the light of residual analysis of compressed data [8, 9].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com