Sentence examples for classification undertaken from inspiring English sources

Information for the aforementioned criteria was gathered during reconnaissance field survey and clues from unsupervised image classification undertaken preliminary to major field survey.

Note finally that the agriculture surface lost found in the forest land use type is not relevant and could be translated by a lack of precision of the land use classification undertaken on a 5 m resolution satellite image in relation to the field work measurements.

Additionally, the case classification undertaken by NBDPS clinical geneticists to exclude cases due to single gene disorders or chromosomal abnormalities or those that are part of a limb body wall complex or amniotic band sequence, resulted in a more homogeneous gastroschisis case group.

Now, according to the annual classifications undertaken by US-based think-tank Freedom House, 11 states are free and 22 partly free, while 15 remain not free.

The new classification was assessed by use of the original radiographs from a study comparing distal humeral fracture classifications undertaken in Oxford, England, and was validated by use of the exact methodology of that study.

"It also needs to be remembered that international classification is undertaken by independent classification panels.

Image classification was undertaken using both unsupervised and supervised image classification techniques.

Image classifications were undertaken using the hybrid classification technique, which combines both unsupervised and supervised classification techniques (Teferi et al. 2010; Solomon et al. 2014).

The classification was undertaken on a 2012 RapidEye satellite image (5 m resolution) using segmentation and object classification method on the eCognition software tool (Sharma et al., 2013).

The classification was undertaken using Terra-Scan software with the algorithm described by Axelsson (2000).

This is fact is well exemplified by the classification task undertaken in our study in which we found that the models optimized with linear kernel functions are less accurate as compared to those trained with non-linear functions.