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A real-time system for classification and tracking of multiple moving objects is proposed.
The present article lays out a system for classification of truss structure types.
A new systematic way in order to obtain optimized fuzzy inference system for classification task is developed.
Here, we present a computer-assisted system for classification of interphase HEp-2 immunofluorescence patterns in autoimmune diagnostics.
AO classification is the most detailed and useful system for classification of distal radial fractures with significant inter observer agreement [13, 14].
Caleb and Steuer [36] have experimented with NN-BP and the SOM as an unsupervised learning system for classification of five types of defects.
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The paper entitled "Application of artificial immune system approach in MRI classification" by Chuin-Mu Wang et al. employs clonal selection algorithm (CSA) of artificial immune systems for classification of brain MR images.
This allows to develop a global model based on fuzzy clustering method using algorithms based on fuzzy inference systems for classification of real data of the examined gas turbine.
Previous studies have used 1.5T systems for classification and characterisations of brain tumors.
When it comes to longitudinal analysis, there are a range of alternative systems for classification (e.g. International Obesity Task Force criteria, or World Health Organisation recommendations) and these may continue to evolve over time.
In this way, we measure and compare the quality of the alignments themselves and the system ability for classification.
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