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Titlebook: Computer and Information Science; Roger Lee Book 2020 Springer Nature Switzerland AG 2020 Computational Intelligence.Computer Science.Info

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楼主: Amalgam
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An Exploratory Study on the Benefit Sharing of Broadcasting Content Industry,on through discussion of the typology of benefit sharing, including OTT, which represents the new broadcasting contents market structure. In addition, the study also presented its limitations and proposed a direction for future research.
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https://doi.org/10.1007/978-1-4302-2354-2f existing HDP methods, they can be affected by the issue of class imbalance that may decrease prediction performance. The proposed framework aims to exploit cost-sensitive principal component analysis (PCA) and the feature matching to build highly effective prediction model.
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The Essential Guide to Flash CS4 is on the analog elements. The learning time and working time are very short because this system is not depending on clock frequency. Moreover, we suggest the realization of the deep learning model regarding the proposed analog hardware neural circuit.
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Seeing and Hearing Are Believing!,ences, we propose a bug-finding tool called Mis.Config using static analysis. We used control flow graphs (CFGs) and thin slicing to realize this purpose. In our experiment, we applied our tool to real-world software to investigate whether Mis.Config can find misreferenced configurations.
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https://doi.org/10.1007/978-1-4302-1589-9 mutation, forward backward propagation, and k-means combined with the Radius Particle Swarm Optimization (RPSO) to solve these problems. The efficiency of the proposed method is tested against the existing methods. The results show that the HRPSO gives better optimum results.
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Monitoring Network Connectivity,number of cell nuclei diagnosed as normal and the number of cell nuclei diagnosed as cancer is clear in the benign and metastasis, while the difference in malignant is vague.Moreover, it is confirmed that N/C ratio of malignancy and metastasis was slightly higher than that of benign.
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Learning Neural Circuit by AC Operation and Frequency Signal Output, is on the analog elements. The learning time and working time are very short because this system is not depending on clock frequency. Moreover, we suggest the realization of the deep learning model regarding the proposed analog hardware neural circuit.
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