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Anomaly Detection with Cortical Learning Algorithm for Smart Homes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00224795" target="_blank" >RIV/68407700:21230/14:00224795 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.researchgate.net/publication/268206597_ANOMALY_DETECTION_WITH_CORTICAL_LEARNING_ALGORITHM_FOR_SMART_HOMES" target="_blank" >http://www.researchgate.net/publication/268206597_ANOMALY_DETECTION_WITH_CORTICAL_LEARNING_ALGORITHM_FOR_SMART_HOMES</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.13140/2.1.2927.8405" target="_blank" >10.13140/2.1.2927.8405</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Anomaly Detection with Cortical Learning Algorithm for Smart Homes

  • Original language description

    After a brief introduction to principles of Cortical Learning Algorithm (CLA) and Hierarchical Temporal Memory (HTM) which frame the theory for NuPIC ? a human neocortex-inspired neural network implementation, we focus on practical use-cases in context of Smart Homes: 1) processing bio-signals (ECG classification, prediction, anomaly detection) for the purpose of mobile assisted technologies. 2) prediction of sensory and location data in smart homes. Preliminary results, realized and in-progress projects are presented in this study as well as obstacles and some comparison to other solution for these ML tasks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 3rd Conference on Innovations in Assistive Technologies and Health Care

  • ISBN

    978-80-01-05572-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    ČVUT, Fakulta elektrotechnická

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Nov 6, 2014

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article