Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2017; 18th International C Hujun Yin,Yang Gao,Minling Zhang Conference proceedi

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Predicting Physical Activities from Accelerometer Readings in Spherical Coordinate System,nsors. Combining these data with current data mining and machine learning techniques yields interesting applications which were not conceivable in the past. One of the most interesting applications is user activities recognition accomplished by analysing information from an accelerometer. In this wo

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A Community Detection Algorithm Based on Jaccard Similarity Label Propagation,s. In order to solve the problem, this paper proposes a novel community detection algorithm based on Jaccard similarity label propagation. Firstly, the Jaccard similarity is used to measure nodes importance. Then, the importance of nodes is utilized to reduce the randomness in label selection. Final

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Landlocked

Multi-output LSSVM-Based Forecasting Model for Mid-Term Interval Load Optimized by SOA and Fresh Des. In this study we have proposed an interval-valued load forecasting model called SOA-FD-MLSSVM. The proposed model consists of three components, the Human Body Amenity(HBA) indicator is introduced as the input of meteorological factors, Fresh Degree(FD) function is brought into the forecast method

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桉树

,Optimization of Grover’s Algorithm Simulation Based on Cloud Computing,rom laboratory. Therefore, quantum simulation has become the main assistant method of verifying quantum algorithms. Grover’s quantum search algorithm can speed up many classical algorithms that use search heuristics. In this work, a high performance Grover algorithm simulation is proposed combining

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Cross-Media Retrieval of Tourism Big Data Based on Deep Features and Topic Semantics,thod of attraction texts and images based on the text deep representation model and convolution neural network. According to the cross-media characteristics of tourism big data, we propose a semantic learning and analysis method for cross-media data, and correlate tourism texts with images based on

MOAT

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Proponent