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- W425601931 abstract "We envision an Ambient Intelligent Environment as an environment with technology embedded within the framework of that environment to help enhance an users experience in that environment. Existing implementations , while working effectively, are themselves an expensive and time consuming investment. Applying the same expertise to an environment on a monolithic scale is very inefficient, and thus, will require a different approach. In this paper, we present this problem, propose theoretical solutions that would solve this problem, with the guise of experimentally verifying and comparing these approaches, as well as a formal method to model the entire scenario." @default.
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- W425601931 date "2012-01-01" @default.
- W425601931 modified "2023-09-27" @default.
- W425601931 title "Towards FollowMe User Profiles for Macro Intelligent Environments" @default.
- W425601931 doi "https://doi.org/10.3233/978-1-61499-080-2-179" @default.
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