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The neural networks take time in the training phase, and then, the classification will be done quickly.
By this algorithm, the "singular" samples will be eliminated according to the classification accuracy and the features that facilitate the classification will be enhanced.
Since Trainable Weka Segmentation processes each slice individually, the classification will be more accurate if the software can "see" artefacts (e.g. missing wedge streaking) and meaningful data in the same image so that it can identify differences between the two.
Future amendments of the classification will be based on scientific advances.
The classification will be based on a simplified version of the 'Ergonomic Abstracts' classification scheme [ 43, 44].
Fourth, Gracillarioidea, as defined by Davis and Robinson [ 11], clearly do not include Douglasiidae, and changes to the classification will be required.
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Initially the classifications will be monitored and regulated by BookRabbit, with the aim of reaching a 'self monitoring' Wiki model in due course.
At the end of the study this classification will be checked by blind independent adjudication.
If contradictory classifications are reported, this classification will be rejected.
41 Since the molecular structure of the β-lactamases is the primary determinant of inhibitor activity, the Ambler classification will be the focus of this discussion.
The proposed classification will be used to vary the costs of urbanization and the taxation of real estate according to the energy performance of the zone.
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