传授知识 发表于 2025-3-23 11:35:57

Decision Analysis in Stochastic Sociocultural Systemsnd explore several possible outcomes of a policy before actually enacting it. However, these models are only useful insofar as decision makers can effectively interpret the model behaviors, their outputs, and their inherent limitations. In this paper, we describe a methodological approach for uncert

减去 发表于 2025-3-23 17:22:35

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内疚 发表于 2025-3-23 20:14:07

Stochastic Matching Model with Returning Itemsson network. After being matched at their arrival, the items move to a Jackson network where they spend some time before eventually returning to the matching system. This general setting includes phase-type return times as a special case. We prove that under some assumptions about the routing and se

异教徒 发表于 2025-3-24 01:33:38

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展览 发表于 2025-3-24 04:36:31

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Budget 发表于 2025-3-24 08:07:50

Performance of Genetic Algorithms in the Context of Software Model Refactoringre refactoring has gained a strategic relevance. The space of possible software refactoring is usually very large, as it is given by the combinations of different refactoring actions that can produce software system alternatives. Multi-objective algorithms have shown the ability to discover alternat

装饰 发表于 2025-3-24 14:43:56

An Approach Using Performance Models for Supporting Energy Analysis of Software Systemstric that is sensitive to several factors, data collection must be repeated to reduce variability. Moreover, additional rounds of measurements are required to evaluate the energy consumption of the system under different experimental conditions. Hence, accurate measurements are often unaffordable be

Restenosis 发表于 2025-3-24 14:49:38

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233689.jpg

切碎 发表于 2025-3-24 20:36:53

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杀虫剂 发表于 2025-3-25 03:08:16

978-3-031-43184-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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查看完整版本: Titlebook: Computer Performance Engineering and Stochastic Modelling; 19th European Worksh Mauro Iacono,Marco Scarpa,Francesco Longo Conference procee