Sentence examples for general identification from inspiring English sources

The proposed specific methods improve current general identification methods of these species based on more general RFLP analyses.

In general, identification of humans can be broadly classified into two approaches: biomechanics based approach, also known as Gait Recognition and biometric based Composite Sketch Matching.

This welcoming stance may also be influenced by the general identification of indigenous people with leftist parties, says Ms. Pugliese, partly because of a total lack of outreach or availability from Conservative politicians.

In general, identification rates for yeasts are above 90% and higher when using acidic extracts, as compared to direct transfer of whole cells [38, 50].

In this case, User-Agents were relatively different; nevertheless, we were able to derive a general identification from the client, e.g., if it was a web browser, mobile device, or a web crawler.

Brophy and co-workers' [3] general identification of isopulegol in L. liversidgei chemotype I has been specified in this work as: isopulegol (neo) (10 22%), isopulegol (iso) (4 10%), isopulegol (neoiso) (0.6 1%) and isopulegol (8-hydroxy) (0 2%).

Our research describes a novel general iterative identification procedure, extending the one originally outlined in Balsa-Canto et al. [ 16], that addresses model identification under these typical constraints and which aims to reduce the effects of the lack of identifiability.

The dimension of a multi-qubit system increases exponentially with the qubit number, which usually leads to daunting computational complexity for general Hamiltonian identification algorithms.

The extracted data included the general study identification, demographics, population, study design, neuroimaging methods, reference standard imaging method used (gold standard), outcomes, and conclusions.

System matrices are first obtained by using a general system identification technique, and then the natural frequency and damping ratio of each mode are extracted from the obtained system matrices.

A general model identification algorithm, in which different noise margins and copulas corresponding to different classes are selected in given families and estimated in an automated way, from the sole observed process, is proposed.