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In this paper, we create a semi-supervised methodology for financial fraud detection in bank wire transactions based on a clustering-based-isolation-forest (CBiForest) algorithm. To test this hybrid model, we experiment on wire transaction data of twelve months from China Everbright Bank. The result of abnormal users is proved to be reliable and outperforms other clustering algorithms. Furthermore,...
Power distribution network is the bridge between power transmission and power consumers, which is an important part of directly feeling the service quality of the power supply by consumers. Intelligent power distribution network of smart grid is an important means to improve power supply reliability and quality of power supply, and real-time monitoring of the distribution network is an important foundation...
Postdisaster search and rescue is an important application of ultrawideband (UWB) radar systems, which mainly detect trapped victims by their respiratory-motion response. The development of a respiratory-motion detection (RMD) algorithm that can eliminate nonstationary clutter and noise is a challenging task for the application. A new algorithm is proposed to deal with the task in this letter. It...
A three-dimensional (space, time and frequency) orthogonal comb pilot scheme is designed to dissolve the problem of the interference of pilot signals between multiple antennas in MIMO-OFDM systems. The MIMO-OFDM channel estimation can be transformed into the single antenna channel estimation for OFDM systems using the pilot scheme. The scheme transmits the pilot information for the channel estimation...
According to the matching differences cased by cardiac non-rigid motion between angiographic images before and after injected in subtract angiography which is most widely used in diagnosis, a new algorithm based on a?? trous wavelet of rotary Gaussian with adaptive space coefficient and segmentation based on transition region is put forward to in this paper. The angiographic image is pretreated by...
We propose a novel algorithm based on clustering to extract rules from artificial neural networks. After networks Beijing trained and pruned successfully, inner-rules are generated by discrete activation values of hidden units. Then, weights between input and hidden units are clustered to decrease the complexity of rules extraction. In clustering phase, the clustered number of weights can be adjusted...
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