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As part of the PhysioNet / Computing in Cardiology Challenge 2016, this work focuses on automatic classification of normal / abnormal phonocardiogram (PCG) recording, with the aim of quickly identifying subjects that need further expert diagnosis. To improve the robustness of the classifiers by increasing the number of training samples, the recordings were windowed into 5 second segments and our classifiers...
Accurate and rapid estimation and prediction of accident impacts are significant, as it assists road administration to alleviate traffic congestion and help the road users to make better travel decisions. In either case, information of how long an accident affects the traffic at nearby intersections is essential. Although there have been various approaches regarding prior-accident issues, only a few...
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