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Titlebook: The Handbook of Global Shadow Banking, Volume II; The Future of Econom Luc Nijs Book 2020 The Editor(s) (if applicable) and The Author(s) 2

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楼主: 压缩
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ions between technology and democracy have intensified, especially when new basic technologies have been invented and its impacts became an issue on the public agenda (Goggin 1986, Sclove 1995). In the seventies and early eighties, most commentators worried about the undermining of democracy in a te
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Langfristige Absatzprognose mit Neuronalen Netzen in der Automobilindustrieitrag zeigt an einem Beispiel aus der Automobilbranche auf, wie die Einsatzpotentiale von KNN auch für die Erstellimg von langfristigen Vorhersagen genutzt werden können. Dafür wird der Ansatz der KNN mit der quantitativen Risikoanalyse kombiniert, um prognostische Unsicherheiten zu erfassen und gra
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First European Olympic Games in Baku: New Articulation of Azerbaijani Identity? its first host underscores the importance of identity-based discourses constitutive for this event. For the second time after the Eurovision Song Contest, Azerbaijan hosted a Europe-wide performative event, which has to be assessed as a series of moves that constitute a symbolic capital for country
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Dairy Cattle Movement Detecting Technology Using Support Vector Machine performance in generalization and optimization, Support vector machines are used to build an information fusion model for dairy cattle’s behavior classification. The data feature of the support vector machine fusion model is derived from 3-axis acceleration data. RBF function is used as the model’s
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Markov Decision Processes and Best Responses of Epidemic Models,el. The proposed methodology is based on the dynamic programming algorithm. As an example, the tomato yellow leaf curl disease is considered in a stochastic model, which is calibrated with real data and used to illustrate the simulation of best responses.
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Lens Distortion Correction Using ELM,linear phase for calibration, and non-linear phase for lens distortion correction is introduced. The performance is evaluated in comparison with traditional learning methods, and the results show that the proposed model produces much better performance than that of the others.
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