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https://doi.org/10.1109/imis.2...
Article . 2012 . Peer-reviewed
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DBLP
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Using ANFIS and FML for Deploying Transparent Services in Smart Environments

Authors: Giovanni Acampora; Vincenzo Loia; Autilia Vitiello;

Using ANFIS and FML for Deploying Transparent Services in Smart Environments

Abstract

This paper introduces a proposal for a smart environment capable of deploying enhanced services by using a synergic approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy Markup Language (FML). In detail, this approach realizes a long-life learning strategy able to generate context-aware services and actualize them through abstraction techniques in order to maximize the users' comfort and hardware interoperability level. As will be shown in experimental results, where a usability study has been performed, the proposed approach is capable of anticipating user's requirements by automatically generating the most suitable collection of interoperable services for improving users' comfort.

Countries
Italy, Netherlands
Keywords

Fuzzy Markup Language, Adaptive neuro-fuzzy inference system, Internet, Markup languages, Interoperable services, Ubiquitous computing, Ambient Intelligence, Abstraction techniques; Adaptive neuro-fuzzy inference system; Ambient intelligence; Context aware services; Interoperable services; Long-life learning; Neural computing; Smart environment; Usability studies, Computer programming languages; Fuzzy systems; Information services; Internet; Markup languages; Ubiquitous computing, Interoperability; Ambient Intelligence; Fuzzy Markup Language; Fuzzy Systems; Neural Computing; Smart Environments, Smart Environments, Smart environment, Fuzzy systems, Interoperability, Usability studies, Fuzzy Systems, Computer programming languages, Neural computing, Context aware services, Abstraction techniques, Ambient intelligence, Long-life learning, Information services, Neural Computing

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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