Detecting the collaborative cheating in an online shopping system is an important but challenging issue. In this paper, we propose a novel approach to detect the collusive manipulation on ratings in Amazon, an online shopping system. Rather than focusing on rating values, we believe the online shopp
2021-02-09 09:06:57 197KB Internet; retail data processing;
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Researches of complex networks such as social networks are becoming popular in recent years. Due tothe large scale and complex structure of these networks, analysis and studies on a complete networkrequire a lot of computational resources and storage space, which will also consume a large amount ofe
2021-02-09 09:06:57 581KB 研究论文
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Charging utility maximization in wireless rechargeable sensor networks by charging multiple sensors simultaneously
2021-02-08 10:03:23 1.63MB 研究论文
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Review on the Research Progress of the Structure and Dynamics of Temporal Networks
2021-02-07 20:06:11 128KB 研究论文
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Runtime Models Based on Dynamic Decision Networks: Enhancing the Decision-making in the Domain of Ambient Assisted Living Applications
2021-02-07 20:05:32 649KB 研究论文
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On achieving maximum streaming rate in hybrid wired/wireless overlay networks
2021-02-07 12:06:01 286KB 研究论文
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LSTM Networks for Online Cross-Network Recommendations.
2021-02-07 12:05:49 432KB 研究论文
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Social networks allow rapid spread of ideas and.innovations while the negative information can also propagate.widely. When the cascades with different opinions reaching the.same user, the cascade arriving first is the most likely to be taken.by the user. Therefore, once misinformation or rumor is detected,.a natural containment method is to introduce a positive cascade.competing against the rumor. Given a budget k, the rumor.blocking problem asks for k seed users to trigger the spread of the.pos
2021-02-07 12:05:47 375KB 研究论文
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Correlative Filters for Convolutional Neural Networks
2021-02-07 12:05:22 128KB 研究论文
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In order to improve the tracking and stabilization performance of three-axis gyro stabilized platform, an adaptive decoupling control based on neural networks is developed. The dynamic model of three-axis GSP is developed based on traditional Newton–Euler method. The nonlinearity and coupling system is full-state-linearized using feedback linearization, and neural networks are used to compensate for the disturbances and uncertainties. The stability of the proposed scheme is analyzed by the
2021-02-07 12:04:54 1.41MB Gyro stabilized platform; Decoupling;
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