Výsledky vyhledávání - "Zaineb Liouane"

An Intelligent Knowledge System for Designing, Modeling, and Recognizing the Behavior of Elderly People in Smart Space

Autor: Zaineb Liouane, Tayeb Lemlouma, Hassani Messaoud, Frédéric Weis, Philippe Roose

Publikováno v: Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing, Springer, 2020, ⟨10.1007/s12652-020-01876-5⟩
Journal of Ambient Intelligence and Humanized Computing, 2020, ⟨10.1007/s12652-020-01876-5⟩

International audience; In this paper, a context-sensitive descriptive language is proposed to design and model the daily living activities of elderly people. The objective is to simplify and represent correctly the knowledge collected by sensors (lo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::280cf04a46ab6f2d70386d70c373af44
https://hal.archives-ouvertes.fr/hal-02967216/document

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A Markovian-Based Approach for Daily Living Activities Recognition

Autor: Hassani Messaoud, Frédéric Weis, Tayeb Lemlouma, Philippe Roose, Zaineb Liouane

Publikováno v: Proceedings of theInternational Conference on Sensor Networks (SENSORNETS 2016)
The International Conference on Sensor Networks (SENSORNETS'16)
The International Conference on Sensor Networks (SENSORNETS'16), Feb 2016, rome, Italy
SENSORNETS

Recognizing the activities of daily living plays an important role in healthcare. It is necessary to use an adapted model to simulate the human behavior in a domestic space to monitor the patient harmonically and to intervene in the necessary time. I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae22feef05597e294db5a3ca52c933c8
https://hal-univ-pau.archives-ouvertes.fr/hal-01907096

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An improved extreme learning machine model for the prediction of human scenarios in smart homes

Autor: Philippe Roose, Tayeb Lemlouma, Frédéric Weis, Zaineb Liouane, Hassani Messaoud

Publikováno v: Applied Intelligence
Applied Intelligence, 2018, 48 (8), pp.2017-2030. ⟨10.1007/s10489-017-1062-5⟩
Applied Intelligence, Springer Verlag (Germany), 2018, 48 (8), pp.2017-2030. ⟨10.1007/s10489-017-1062-5⟩

One of the main objectives of smart homes is healthcare monitoring and assistance, especially for elderly and disabled people. Therefore, an accurate prediction of the inhabitant behavior is very helpful to provide the required assistance. This work

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42ef81ded51fd439e5a8e19ade78d13c
https://inria.hal.science/hal-01678671

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Dissertation/ Thesis

Services e-santé basés sur la reconnaissance et la prédiction des activités quotidiennes dans les espaces intelligents

Autor: Zaineb, Liouane

Les progrès de la technologie des capteurs et leur disponibilité ont permis de mesurer diverses propriétés et activités des habitants dans une maison intelligente. Cependant, l’obtention de connaissances significatives à partir d’une grande

Externí odkaz: http://www.theses.fr/2018REN1S109

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An Improved Elman Neural Network for Daily Living Activities Recognition

Autor: Hassani Messaoud, Philippe Roose, Zaineb Liouane, Tayeb Lemlouma, Frédéric Weis

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319534794
ISDA
16th International Conference on Intelligent Systems Design and Applications
16th International Conference on Intelligent Systems Design and Applications, Dec 2016, Porto, Portugal. pp.697-707, ⟨10.1007/978-3-319-53480-0_69⟩

International audience; One of the main issues regarding the monitoring of persons in a smart home environment is the accuracy of the daily control of the person, the health prevention and the timely prediction of abnormal situations. To tackle this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb0eacbf4788cf28a745805c698cf7bf
https://doi.org/10.1007/978-3-319-53480-0_69

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A Genetic Neural Network Approach for Unusual Behavior Prediction in Smart Home

Autor: Frédéric Weis, Hassani Messaoud, Zaineb Liouane, Philippe Roose, Tayeb Lemlouma

Publikováno v: 16th International Conference on Intelligent Systems Design and Applications
16th International Conference on Intelligent Systems Design and Applications, Dec 2016, Porto, Portugal. pp.738-748, ⟨10.1007/978-3-319-53480-0_73⟩
16th International Conference on Intelligent Systems Design and Applications (ISDA)
16th International Conference on Intelligent Systems Design and Applications (ISDA), 2016, Porto, Portugal. pp.738-748, ⟨10.1007/978-3-319-53480-0_73⟩
Advances in Intelligent Systems and Computing ISBN: 9783319534794
ISDA

International audience; Detect efficiently the activities of daily living of elderly people at home in order to provide a secure life and to intervene in the necessary time is an important problem we propose here an improved artificial neural network

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78253ce87fac4140b9e47027f96f9d37
https://inria.hal.science/hal-01462993

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A Genetic -based Localization Algorithm for Elderly People in Smart Cities

Autor: Frédéric Weis, Tayeb Lemlouma, Hassani Messaoud, Philippe Roose, Zaineb Liouane

Publikováno v: International Conference on Intelligent Systems Design and Applications (ISDA)
International Conference on Intelligent Systems Design and Applications (ISDA), Nov 2016, Porto, Portugal. pp.83-89, ⟨10.1145/2989250.2989269⟩
MobiWac

International audience; In the context of aging populations, maintaining persons at home represents one of the solutions seriously considered. In France, one person among three will be over 60 years in 2050, against one among five in 2005 [12]. Many

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cf27166991f968165a7a7b4465b78ef
https://hal-univ-pau.archives-ouvertes.fr/hal-02439325

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