Titlebook: Evolving Ambient Intelligence; AmI 2013 Workshops, Michael J. O’Grady,Hamed Vahdat-Nejad,Gregory O’Ha Conference proceedings 2013 The Edit

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書目名稱Evolving Ambient Intelligence影響因子(影響力)




書目名稱Evolving Ambient Intelligence影響因子(影響力)學(xué)科排名




書目名稱Evolving Ambient Intelligence網(wǎng)絡(luò)公開度




書目名稱Evolving Ambient Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolving Ambient Intelligence被引頻次




書目名稱Evolving Ambient Intelligence被引頻次學(xué)科排名




書目名稱Evolving Ambient Intelligence年度引用




書目名稱Evolving Ambient Intelligence年度引用學(xué)科排名




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書目名稱Evolving Ambient Intelligence讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-3-0348-5335-4ion. Criteria that should be met to become a competent data model for the purpose of fault detection is summarised. Some existing sensor data modelling methods for fault detection are presented and qualitatively compared.

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Temporal Issues in Teaching Robot Behaviours in a Knowledge-Based Sensorised Home occuring at different times and in different timeframes and periods. In this paper we describe our overall approach to creating an environment where robot behaviours can be taught and focus especially on how we deal with the temporal aspects associated with this issue.

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Empirical Methods for Evaluating Properties of Configuration Planning Algorithms algorithms, based on statistics. While the methods themselves do not solve all the problems of comparative studies, it is a first step towards numerically comparing performances of the different configuration planning methods proposed by the community.