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In digital watermarking studies, methods have been presented for detection and extraction of the watermark by assuming that some information used in the embedding is known to the detector [14].
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An application of PSO is presented for detection of machinery fault for CBM [67].
In this paper, two new methods are presented for detection and classification of faults.
In this context, an efficient hybrid framework is presented for detection of malware in Android Apps.
A method based on measurement of natural frequencies is presented for detection of the location and size of a crack in a stepped cantilever beam.
In this paper, a new algorithm is presented for detection of CT saturation time interval by using the Improved S-Transform (IST).
A methodology is presented for detection of the location of simple translational spring supports in elastic structures by non-destructive and non-intrusive means, based on measured natural frequencies of the structure.
In this study, a new approach based on the consideration that electrocardiogram (ECG) signals are chaotic signals was presented for detection of electrocardiographic changes in patients with partial epilepsy.
Herein, an amplified electrochemical sensing method has been presented for the detection of DNA based on the readout resulting from chemical oxidation of guanine on nanoscaled metal oxides (TiO2, SnO2 and Fe3O4) obtained by chemical vapor deposition (CVD) onto pencil graphite electrode (PGE) as electrochemical transducer.
An automated method has been presented for the detection of epileptic spikes in the electroencephalogram (EEG) using a deterministic finite automata (DFA) and has been named as DFAspike.
An analytical model based on the Fourier superposition concept has been presented for modelling the crack detection task in a multi-layered structure and validated by using FEM results [45].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com