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Learning from experience to anticipate domestic needs

Articolo
Data di Pubblicazione:
2011
Abstract:
With the increasing influence of technology on our lives, it is becoming ever more important to offer new ambient intelligence solutions which enable humans to adapt and organize their lives around computational technologies and technologies to adapt to meet user behaviour. We apply machine learning techniques to demonstrate how user needs can be satisfied and anticipated by adding Ambient Intelligence solutions to any environment equipped with well-established commercial domotic systems.
Tipologia CRIS:
01.01 Articolo in rivista
Elenco autori:
Russo, Dario; Miori, Vittorio
Autori di Ateneo:
RUSSO DARIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/21658
Pubblicato in:
ERCIM NEWS
Journal
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Dati Generali

URL

http://ercim-news.ercim.eu/en84/special/learning-from-experience-to-anticipate-domestic-needs
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