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In order to guarantee the power quality and the highly efficient operation of the power network, a reliable operating condition recognition system of distribution networks is necessary. To solve the problem of multi-condition recognition, an operating condition recognition system based on the workflow of decision-making tree is proposed. Big data of waveforms acquired by an online recording system...
Automatically classifying text documents is an important field in machine learning. Unsupervised text classification does not need training data but is often criticized to cluster blindly. Supervised text classification needs large quantities of labeled training data to achieve high accuracy. However, in practice, labeled samples are often difficult, expensive or time consuming to obtain. In the meanwhile,...
Digital ID images are getting wide use in our social life. The automatic evaluation of the images’ quality is an important technique in the applications. An evaluation method on the content-related quality of ID images is introduced in this paper. The important attributes and their evaluating methods are analyzed in accordance with the ISO/IEC and ICAO standards. Considering the special features and...
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