Anomaly Detection with Cortical Learning Algorithm for Smart Homes

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>

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
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 3rd Conference on Innovations in Assistive Technologies and Health Care
ISBN
978-80-01-05572-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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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
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