Sentence examples for detection and quantization from inspiring English sources

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So, the combination of HOCI and Rrs 667)/Rrs(443) ratio is useful for detection and quantization of C. polykrikoids.

Molecular assays for Aa detection are based on DNA-probes, PCR and real time PCR methods; they are faster and more sensitive than cultural systems, although they do not allow a simultaneous detection and quantization of the different genotypes [ 21- 34].

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A comprehensive diagnostic system is presented by developing a cascaded organization of the detection, location and quantization features.

This information can be obtained through various analytical detection, identification, and quantization techniques for a variety of systems ranging from unicellular model organisms to human biofluids [ 20- 23].

Experimental results with high precision and recall rates demonstrate the feasibility and potential of our proposed algorithm, which could be further implemented in real sugar beet fields with robust detection and precise quantization of foliar disease development, for better analysis of disease mechanism and optimal fungicide-spraying management.

The use of QDs enables efficient detection and precise quantization of cellular uptake of particles.

This technology has been used for gene expression, genotyping, mutation detection, and absolute quantization of nucleic-acid sequences [ 17, 18].

Several assays capable to detect antigen-specific T cells have since been developed, and among these flow cytometry based on the ability to detect cytokine production at the single cell level allows simultaneous detection, quantization and phenotypic characterization of CD4+ and CD8+ T cells [7].

Topics include elements of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the presence of noise.

In this paper the design of fault detection (FD) for networked control systems (NCSs) is studied by taking network-induced delay, packet dropout and quantization error into account.

In decentralized detection (DD), multiple sensors collaborate to distinguish between two or more hypotheses, and the classical problem is to find the local sensor detection strategies (quantization rules) to minimize a system-wide cost function using different network topologies and channel models [1, 2].

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