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Handwritten character recognition has been an active and challenging research problem, due to the large variations of characters and the dependency relationship between characters. Most of traditional methods rarely consider these two challenges simultaneously. This paper proposes a sequential convolutional neural network(CNN) to solve this problem. It considers handwritten words as image sequences...
Objective To evaluate the diagnostic accuracy of dual-source CT (DSCT) prospective ECG-triggering coronary angiography in patients with different heart rate (HR). Methods 103 patients with suspected coronary artery disease underwent DSCT prospective ECG-triggered coronary angiography and invasive coronary angiography (ICA). The patients were grouped by HR during CT scans: low HR (≤60 bpm, n = 34);...
Along with increasing credit cards and growing trade volume in China, credit card fraud rises sharply. How to enhance the detection and prevention of credit card fraud becomes the focus of risk control of banks. This paper proposes a credit card fraud detection model using outlier detection based on distance sum according to the infrequency and unconventionality of fraud in credit card transaction...
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