neoplasm 发表于 2025-3-26 22:37:44
https://doi.org/10.1007/978-3-642-50791-5ncludes instances where, for example, the application releases the user’s location or device ID without authorization. It properly extends previous work on datacentric semantics for verification of privacy policy compliance by mobile applications by (i) tracking implicit information flow, and (ii) pFibrin 发表于 2025-3-27 03:46:06
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Die Boussesche Transportvorrichtung,bases and services enabling the indexed information searching. In the early stages the primary focus of MIR was on music information through Query-by-Humming (QBH) applications, i.e. on identifying a piece of music by singing (singing/whistling), while more advanced implementations supporting Query-减震 发表于 2025-3-27 12:19:09
Die Boussesche Transportvorrichtung,We introduce first the universal integrals, covering the Choquet, Shilkret and Sugeno integrals. Based on optimization approach, we discuss decomposition and superdecomposition integrals. We introduce integrals which are universal and decomposition (superdecomposition) ones and integrals constructed越自我 发表于 2025-3-27 14:58:21
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Die Boussesche Transportvorrichtung,Integrated Core architecture (MIC). The proposed parallelization, which uses OpenMP technology, also improves the performance of the rendering engine when running on multi-core CPUs and multi-socket servers. Although the GPU acceleration is already implemented in Cycles, its functionality is limited分解 发表于 2025-3-28 02:25:15
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,Erratum to: Pneumatische Getreideförderung,only to univariate time series, while multivariate time series data are common too. One such example is human gait kinematic data. The main goal of this article is to present a method of nonlinear analysis for kinematic time series. This nonlinear analysis is designed for detection of chaotic behavi藕床生厌倦 发表于 2025-3-28 13:53:55
,Pneumatische Getreideförderung,l for effectiveness and sufficient reliability of such systems. Recent days, the fusion of various data sources is the topic which attracts attention of several researchers. The algorithms for data fusion take benefit of the advantages and disadvantages of each technology, resulting in an optimal so