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Titlebook: Komplikationen in der Anästhesie; Fallbeispiele - Anal Matthias Hübler,Thea Koch Book 2024Latest edition Der/die Herausgeber bzw. der/die A

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楼主: Taylor
发表于 2025-3-30 09:45:33 | 显示全部楼层
CM-DIR: A Method to Support the Specification of the User’s Dynamic Behavior in Recommender Systemswith the description of dynamic user behavior in Recommender Systems (RS). The identification of user behavior change is paramount to optimize RSs to face new contexts of use and adapt their user interface accordingly. Capturing dynamic user behavior is, however, not an easy task and most RS systems
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Uncertainty Management Learning How to Deal with Risk and Errorssibilities of failure; it is safer simply to respond to the market’s demands, reproducing what everyone else (that is, each competitor) does. Proactive strategies — exactly because they deal with what does not exist yet — intensify this fear of what is indeterminate. In addition, because market pro
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ch was held in St. Catharine‘s College Cambridge in March 1985. This meeting was organized by the Radiopharmacy Group of the British Nuclear Medicine Society under the auspices of the European Joint Committee on Radio­ pharmaceuticals of the ENMS / SNME. The Joint Committee acknowledges the special
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Bi-Objective Sequencing of Cutting Patternsr of open stacks and the minimisation of the average order spread. To approximate the Pareto optimal set we used multi-objective evolutionary algorithms. The bi-objective optimisation approach can provide knowledge about the solution space that would not have been achieved with a pure single objective approach.
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Enrico Appiani,Giuseppe Buslacchihe later ‘Nietzschean’ one to be the real Critical Theory, neither model lends itself, in an obvious way, to being a vehicle for commercial or state sponsorship. Yet this was the official direction in which Horkheimer, perhaps inevitably, led the Institute. Wiggerhaus (1994: ch. 6), rather unkindly
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Cross-Domain Few-Shot Semantic Segmentation,SS. To tackle the challenging CD-FSS problem, we propose a novel Pyramid-Anchor-Transformation based few-shot segmentation network (PATNet), in which domain-specific features are transformed into domain-agnostic ones for downstream segmentation modules to fast adapt to unseen domains. Our model outp
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