Titlebook: Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems; Methods and Applicat Krishnan B. Chandran,H. S. Udaykuma

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Michael S. Sacks,Jia Lu and Maydt, 2002) used manual tuning or heuristics to set the intermediate rejection thresholds for the detector, which is inefficient and suboptimal. Recently, various approaches has been proposed to address this issue. Notably, Bourdev and Brandt (Bourdev and Brandt, 2005) proposed a method for se

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Tom Claessens,Joris Degroote,Jan Vierendeels,Peter Van Ransbeeck,Patrick Segers,Pascal Verdonckn is drawn to the problem of devising a decision rule that permits the probability of rejecting a true null hypothesis to be controlled, at least approximately, for example, (1.21) of Chapter 1. In the latter situation, the probability of detecting a departure from the null hypothesis, that is, the

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ments as a starting point to generate Subobjectives and Business Model Design Requirement Specification Cards as a structuring tool to facilitate the transformation of these Subobjectives into Business Model Design Requirements. The method is demonstrated using a historical platform case study. We s

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