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In this paper, we propose a novel approach based on deep belief networks for features learning of ECG arrhythmias. The method consists of four steps: ECG signals preprocessing, segmentation and resampling, features learning, and validation. In the resampling stage all segmented ECG beats are changed into the same periodic length for the deep learning model. For extracting features of ECG data, we...
In this paper, we consider a mobile advertising recommendation system using item-based Top-N recommendation algorithm based on Hadoop framework and then propose a solution based on the Hadoop framework to build a distributed recommendation system. We also introduce advertising server into the system. Seller will pay for their advertising when it is clicked by users, so that this platform can make...
Simulation analysis data proliferate in the process of product collaborative simulation, therefore, capability to access and manage the simulation analysis data is critical for the collaborative simulation. In order to achieving the integrality, coherence and traceability of simulation data, this paper proposed a management model of multi-dimensional simulation data of complicated product, which describes...
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