Sentence examples for most prevalent detection from inspiring English sources

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The current paper presents a theoretical analysis and comparison of the sensitivity and resolution of these four types of SPR biosensors when employed in three of the most prevalent detection methods, namely angular interrogation, wavelength interrogation, and intensity measurement.

Similar(58)

Cooperative PU detection is the most prevalent PU detection method in cognitive radio (CR) networks.

The most prevalent triple detections were fluvalinate and coumaphos combined with chlorothalonil (47.2%), chlorpyrifos (41.0%), degradates of amitraz (41.0%), or with one of 43 systemic pesticides (47.9%).

MWPyV was first detected in fecal specimens from healthy children, but we found that MWPyV was the most prevalent PyV detected in respiratory specimens and that it was associated with upper respiratory infection symptoms in >33% of sole detection episodes.

The most prevalent artifacts causing false detections were electrode-disconnect, respiration and high amplitude activity caused by movement or handling of the patient.

In Ethiopia there are some works conducted on ovine pneumonic pasteurellosis: seroprevalence, bacteriological prevalence in pneumonic lungs and detection of most prevalent serotyping throughout the selected sites of Ethiopia.

Cardiotocography was introduced in late 1960s and is still the most prevalent method of intrapartum hypoxia detection.

Various methods have been suggested for PU detection, and cooperative PU detection increasingly becomes the most prevalent choice as it exploits the diversity of multiple SUs in CR networks [7].

Supervised learning refers to the task of learning from labeled data and is the most prevalent method used for review spam detection in the literature.

Multiplex real-time PCR was performed with Cepheid's GeneXpert Carba-R, allowing detection of the most prevalent carbapenemase gene families (blaVIM, blaNDM, blaIMP, blaOXA-48 and blaKPC).

Its researchers have developed one of the neater techniques, using neural networks, for automatic detection of the most prevalent class of viruses so-called "boot sector" viruses.

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