Titlebook: Neural Cell Behavior and Fuzzy Logic; The Being of Neural Uziel Sandler,Lev Tsitolovsky Book 2008 Springer-Verlag US 2008 behavior.fuzzy l

高原

ing different machine learning text-classification algorithms. The results show that our model enables achieving . precision and . recall in identifying seven classes of constraints (i.e., Syntax, Semantic, Structure, Dynamic, Context, Quality, and Not-COIN). This achievement increases to . precisio

Cerebrovascular

ing different machine learning text-classification algorithms. The results show that our model enables achieving . precision and . recall in identifying seven classes of constraints (i.e., Syntax, Semantic, Structure, Dynamic, Context, Quality, and Not-COIN). This achievement increases to . precisio

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alliance

reasonable time. In this paper, we propose an approach of modeling architecture and automatically synthesizing a tailored architecture documentation for each developer and each development task. Therefore architectural concepts are selected from the model based on the task and an interleaving of co

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uce a novel notation to formally express architectural properties as well as an SMC-based toolchain for verifying dynamic software architectures described in .-ADL, a formal architecture description language. We use a flood monitoring system to show how to express relevant properties to be verified.

诽谤

vel architectural solutions are needed to handle the complexity of software-intensive systems-of-systems in particular regarding the software architecture challenges implied by evolutionary development and emergent behavior..This paper presents the challenges facing software architecture research to

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ing and relating concepts such as symptoms, causes, consequences, and management strategies. By grounding the findings in empirical data, the theory provides researchers and practitioners with evidence of which crucial factors of architectural technical debt are experienced in industrial contexts.

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冷淡周边

ch for modeling networks of data stream operations including their parameters with the goal of predicting the performance of the resulting composed data streaming application. The approach is based on a component-based performance model with queueing semantics for processing resources. Our evaluatio

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