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Titlebook: Untersuchungen an Ziegelrohstoffen in bezug auf das Trocknungsverhalten und dessen Verbesserung; Gerhard Piltz Book 1967 Westdeutscher Ver

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發(fā)表于 2025-3-25 07:06:44 | 只看該作者
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發(fā)表于 2025-3-25 10:02:07 | 只看該作者
ily applied across a wide range of applications. This paper presents a pattern system for AO design that provides solutions for recurring problems in the design of such reusable aspect libraries. We have focused on libraries using AspectJ. The requirements for setting up reusable aspect libraries ar
23#
發(fā)表于 2025-3-25 12:26:12 | 只看該作者
Gerhard Piltzehavior of other modules without the need that these modules refer to the aspect. Recent studies show that a significant part of reported bugs in aspect-oriented programs are caused exactly by this implicitness. These bugs are difficult to detect, because aspect-oriented source code elements and the
24#
發(fā)表于 2025-3-25 16:41:31 | 只看該作者
Gerhard Piltz Modularity:aosd 2013.Covers a wide range of modularity topiThe LNCS journal Transactions on Aspect-Oriented Software Development is devoted to all facets of aspect-oriented software development (AOSD) techniques in the context of all phases of the software life cycle, from requirements and design t
25#
發(fā)表于 2025-3-25 23:31:50 | 只看該作者
Gerhard Piltzrt research on modularity.In the first paper, the authors deThe LNCS journal Transactions on Aspect-Oriented Software Development is devoted to all facets of aspect-oriented software development (AOSD) techniques in the context of all phases of the software life cycle, from requirements and design t
26#
發(fā)表于 2025-3-26 02:18:16 | 只看該作者
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發(fā)表于 2025-3-26 07:09:04 | 只看該作者
Gerhard Piltz important. This recent field focuses on assigning relevance to Web-pages by considering the reader’s perspective rather than Web-masters’ point of view. Current searching technologies of this form tend to rely on explicit human recommendations. In part because it is hard to obtain user feedback, th
28#
發(fā)表于 2025-3-26 09:16:49 | 只看該作者
29#
發(fā)表于 2025-3-26 14:11:58 | 只看該作者
Gerhard Piltznd practice in the domain of the distributed data mining and distributed knowledge discovery from databases. Currently, learning from data is recognized as one of the most widely investigated paradigms of machine learning. At the same time it is perceived as a difficult and demanding computational p
30#
發(fā)表于 2025-3-26 18:24:10 | 只看該作者
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