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Spontaneous reporting systems of adverse drug events have been widely established in many countries to collect as could as possible all adverse drug events to facilitate the detection of suspected ADR signals via some statistical or data mining methods. Unfortunately, due to privacy concern or other reasons, the reporters sometimes may omit consciously some attributes, causing many missing values...
Nowadays, many countries have established spontaneous reporting systems (SRSs) to facilitate postmarketing surveillance of listed drugs and collect enough data for detecting unknown adverse drug reactions. Due to data in SRSs coming from different sources of reporters, there heralds the problem of duplicate reporting; even a small amount of duplicate records would bias the detection results. Although...
Stereo matching technique has been extensively investigated for depth map extraction, while most depth-map applications (such as 3D gaming, vehicle collision detection, etc.) adopt active scan systems to measure the distance. It is challenging to design an efficient hardware architecture of stereo matching which meets the real-time/high-resolution requirement. Moreover, external factors such as lighting...
Although many kinds of collision pre-warning algorithms and systems for vehicles were proposed in order to prevent accidents in past years, two problems have to be resolve in order to enhance the accuracy of collision detection. First, a vehicle does not always keep the same velocity when it is moving. Second, the curve road condition should be considered. In this paper, we proposed an Advanced Cooperative...
In order to have a rich representation for human action, we propose to combine two complementary features so that a human posture can be characterized in more details. In particular, the distance signal feature and the width feature are combined in an effective way to enhance each other's discriminating capability. The resulting feature vector is quantized into mid-level features using k-means clustering...
For financial institutions, the ability to predict or forecast business failures is crucial, as incorrect decisions can have direct financial consequences. Bankruptcy prediction and credit scoring are the two major research problems in the accounting and finance domain. In the literature, a number of models have been developed to predict whether borrowers are in danger of bankruptcy and whether they...
Age-related macular degeneration (AMD) with the complication of choroidal neovascularization (CNV) has been the major cause of severe, irreversible vision loss in many developed countries. The imaging modality that is commonly used to reveal the vascular abnormalities of CNV is fluorescein angiography (FA). Analysis and interpretation of FA sequences are largely performed by skilled observers on single...
According to CISPR 16-1 & ANSI C 63.4 standard requirements, to implement EMI radiated emission measurement needs to use accuracy antenna factor (AF). The Standard Site Method(SSM) of antenna calibration is most popular technology in the EMI sector. In Taiwan, the SSM calibration technology is also to set up in BSMI WUDA Antenna Site to calibrate broadband antennas (30 MHz to 1 GHz). This paper...
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