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Titlebook: Cybernetics and Mathematics Applications in Intelligent Systems; Proceedings of the 6 Radek Silhavy,Roman Senkerik,Petr Silhavy Conference

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樓主: Braggart
31#
發(fā)表于 2025-3-27 00:46:23 | 只看該作者
32#
發(fā)表于 2025-3-27 02:49:30 | 只看該作者
Activation of Viruses by Host Proteasesd leave less time for fast stations, which is so called performance anomaly. The paper proposes an improved active queue management (IAQM) algorithm for fairly sharing network resources among all contending stations. Meanwhile, by setting different queue length and drop rate for each data flow with
33#
發(fā)表于 2025-3-27 09:15:41 | 只看該作者
34#
發(fā)表于 2025-3-27 11:40:33 | 只看該作者
https://doi.org/10.1007/978-3-319-75474-1h reflects the loss on disaster recovery. We analyze ways to reduce the possibilities of accident initiation. We also consider the features of the adaptive routing. We define the conditions under which it can be used to manage by the intensity of the flow through separate network segments. We propos
35#
發(fā)表于 2025-3-27 14:13:23 | 只看該作者
https://doi.org/10.1007/978-94-009-3313-2s of study. The proposed schemes utilize data blocks to balance processing overhead results from a small mapper set and I/O overhead results from a large mapper set. Balancing between the two processing steps, however, consumes time and resources. The proposed technique uses a single MapReduce job a
36#
發(fā)表于 2025-3-27 18:03:58 | 只看該作者
https://doi.org/10.1007/978-3-319-57264-2Intelligent Systems; Cybernetics; Artificial Intelligence; CSOC; CSOC2017
37#
發(fā)表于 2025-3-28 00:13:22 | 只看該作者
978-3-319-57263-5Springer International Publishing AG 2017
38#
發(fā)表于 2025-3-28 04:03:58 | 只看該作者
39#
發(fā)表于 2025-3-28 06:36:43 | 只看該作者
Application of Risk Theory Approach to Fuzzy Abduction,l under semi-supervised learning in the classical sense, because there it is assumed that the target signals are known and correct. The assumption of incompleteness is, however, natural for pattern recognition, e.g. for medical diagnostics..In such a situation, it is natural to base a learning proce
40#
發(fā)表于 2025-3-28 11:20:50 | 只看該作者
Enhanced TDS Stability Analysis Method via Characteristic Quasipolynomial Polynomization,f the characteristic quasipolynomial by a polynomial that can be further handled via conventional tools. This contribution is aimed at an improved extrapolation method transforming a retarded quasipolynomial into a corresponding polynomial. It is equivalent to the finding of a finite-dimensional mod
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