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Titlebook: Big Data Privacy Preservation for Cyber-Physical Systems; Miao Pan,Jingyi Wang,Zhu Han Book 2019 The Author(s), under exclusive license to

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,Spectrum Trading with Secondary Users’ Privacy Preservation,ion of all SUs. Moreover, the STED adds noises to preserve the demand differential privacy of sampled SUs before it answers the demand estimation queries from the PSP. With the estimated SUs’ demand, we formulate the revenue maximization problem into a risk-averse optimization, develop feasible solu
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,Optimization for Utility Providers with Privacy Preservation of Users’ Energy Profile,ion, the utility provider aggregates a given set of historical users’ differentially private data, estimates the users’ demands, and formulates the data-driven cost minimization based on the collected noisy data. We also develop algorithms for feasible solutions, and verify the effectiveness of the
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Springer Tracts in Advanced Roboticshow agent technology could be used to make a virtual tutor that assists the student during the training. In particular, we study how the tutor can generate persuasive arguments for what the student should do.
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Jens Amendt,M.Lee Goff,Martin GrassbergerAll authors are top experts in their field.Many topics are dealt with for the first time in a Forensic Entomology textbook, at least in this depth.Interdisciplinary approach of the book shows trends f
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