Sentence examples for data classified from inspiring English sources

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Another work of interest was proposed by Xu et al. [21], which uses a restrict set of supervised data classified with a SVM classifier, using non-ranked data to improve the learning.

He added: "A look at the data classified by the race and gender of those stopped indicates that the percentages are nearly identical to last year.

In 2012, 53% of the world's data classified as requiring protection of some kind was found to have such measures in place, compared to 44% for India.

University IT uses an automated tool to scan files stored in file sharing systems, searching for files that are publicly accessible and contain data classified as High Risk.

Multivariate analyses of data, classified 20 a priori selected sampling units into four ecologically meaningful biotope types, each with a characteristic dragonfly assemblage.

This study concludes that AISA Eagle data classified using RF and SVM algorithms provide relatively accurate information that is important to the forest industry for making informed decision regarding pine plantations health protocols.

Urban land use intensity is derived from satellite and population density based data classified into high (57% roof space hence solar panels, 38% roads, 5% vegetation), medium (45% solar panels, 45% roads, 10% vegetation), and low (25% solar panels, 25% roads, 50% vegetation) intensity development22 (Supplementary Figure S1).

(a) A request for authority to export defense articles, including technical data, classified by a foreign government or pursuant to Executive Order 12356, successor orders, or other legal authority must be submitted to the Directorate of Defense Trade Controls for approval.

We used the Forest Inventory and Analysis (FIA) database and other existing vegetation data, classified Landsat TM imagery, measurements of tree architecture and Forest Vegetation Simulator (FVS) to visualize a forest landscape in the Washburn District of the Chequamegon National Forest (CNF) in northern Wisconsin to generate useful information for resource management at multiple scales.

Alternative models evaluated with the input data classified into El Niño, La Niña and the positive and negative phases of the Indian Ocean Dipole moment (considering the impacts of synoptic-scale climate phenomenon), confirms the superiority of the SaDE-ELM model (with RRMSE ≤ 13%).

All transects were geo-referenced, and land cover data classified from a time-series of Thematic Mapper images were used to assess the age of each edge.

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