Titlebook: Computing System Reliability; Models and Analysis Min Xie,Yuan-Shun Dai,Kim-Leng Poh Book 2004 Springer Science+Business Media New York 200

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Parag Bafna,B. Annappalete with illustrative examples and exercises.Useful as a coBy the development of new fields and applications, such as Automated Theorem Proving and Logic Programming, Logic has obtained a new and important role in Computer Science. The traditional mathematical way of dealing with Logic is in some r

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KEGEL

Smart Grid: Constructing a System of Systems Model Using Both Qualitative and Quantitative Assessmexists a desire to leverage both modeling approaches by finding a way to compare and contrast both types of models. In this paper the authors make attempts to leverage these modeling techniques by exploring the use of a newly formulated methodology, referred to as Relational Oriented Systems Engineer

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The Church-Rosser languages are the deterministic variants of the growing context-sensitive languagrizes the class of generalized Church-Rosser languages (Buntrock and Otto 1995). Exploiting this characterization we prove that this latter class coincides with the class of Church-Rosser languages that was introduced by McNaughton, Narendran, and Otto (1988). Based on this result several open probl

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Modeling and Validation of Publish/Subscribe Architecturesomponents. This paradigm eases the design of flexible architectures, but complicates their validation. It is easy to understand what each component does, but it is hard to foresee what the global federation achieves..This chapter tackles the problem at the architectural level and describes an approa

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Biomarker

Role of Biotechnology in Pesticide Development: , as an Example,e these insecticides . is fermented until spores and crystals are produced. The mixture of spores and crystals is then formulated to allow effective application to crop plants. Products such as Dipel have been used effectively on more than 50 species of Lepidopteran pests on over 200 crops (Wilcox ., 1986).

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MTLAT: A Multi-Task Learning Framework Based on Adversarial Training for Chinese Cybersecurity NER any external resources except static word embedding, outperforms state-of-the-art systems on the Chinese cybersecurity dataset. Moreover, our model outperforms the BiLSTM-CRF method on Weibo, Resume, and MSRA Chinese general NER datasets by 4.1%, 1.04%, 1.79% F1 scores, which proves the universality of our model in different domains.