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An improved Computer Aided Clinical Decision Support System has been developed to classify the tumor and identify the stages of the cancer using neural network and presented in this paper. The texture and shape features have been extracted and the optimal feature set has been obtained using multiobjective genetic algorithm (MOGA). The multilayer back(More)
An enhanced Computer Aided Clinical Decision Making System using Multiple classifier systems (MCSs) based on the combination of a set of different classifiers for classifying the breast tumor as malignant and benign has been developed and presented in this paper. The Multilayer Back Propagation Neural Network (MBPN), Radial-Basis-Function Neural Network(More)
Reduction in energy consumption has become a global concern and the EU is committed to reducing its overall emissions to at least 20%. Traffic operation has a significant impact on energy consumption in metro lines and thus it is important to analyze and minimize it. Trains equipped with automatic train operation (ATO) systems are operated between stations(More)
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