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Titlebook: Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Informat; 9th International Co Juan M. García-C

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發(fā)表于 2025-3-25 04:47:29 | 只看該作者
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發(fā)表于 2025-3-25 10:19:59 | 只看該作者
A Top-Down Design Approach for an Automated Testing Frameworkr, mobile applications sometimes incorrectly process events associated with the user-interaction features. These features include content presentation or navigation. Rotating the devices, and gestures such as scroll or zoom into screens are some examples. There is a need to assess the quality with w
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發(fā)表于 2025-3-25 15:32:23 | 只看該作者
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發(fā)表于 2025-3-25 16:48:16 | 只看該作者
Generation of a Partitioned Dataset with Single, Interleave and Multioccupancy Daily Living Activitibitants. In this kind of environments, an important task is the process of activity recognition of an inhabitant in the environment in order to anticipate the occupant necessities and to adapt such smart environment. Due to the cost to checking activity recognition approaches in real environments, u
25#
發(fā)表于 2025-3-25 20:16:07 | 只看該作者
Adapting a Bandwidth-Efficient Information Dissemination Scheme for Urban VANETss do not define efficient schemes for infotainment dissemination over urban networks. These networks present special features and difficulties that may require special measures. In a previous work, we proposed three different schemes. The preliminary results of the three were satisfying but we still
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發(fā)表于 2025-3-26 01:04:24 | 只看該作者
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發(fā)表于 2025-3-26 07:27:21 | 只看該作者
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發(fā)表于 2025-3-26 09:55:47 | 只看該作者
Teaching a Virtual Robot to Perform Tasks by Learning from Observationhaviors to be cloned can be observed and represented using a finite alphabet of symbols. A virtual agent is used to generate training material, according to a range of strategies of gradually increasing complexity. We use Machine Learning techniques to learn new strategies by observing and thereafte
29#
發(fā)表于 2025-3-26 13:33:11 | 只看該作者
30#
發(fā)表于 2025-3-26 18:16:48 | 只看該作者
RBox: An Experimentation Tool for Creating Event-Driven Recommender Algorithms for Web 2.0n spite of the ubiquity of RS on the Web 2.0 this research field still lacks a unique way of representing collective intelligence. To solve this problem, this article adopts a generic event-driven approach providing a unique RBox data schema. Thus, it is possible to achieve the abstraction of collab
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