Unsupervised Learning for Product Use Activity Recognition: An Exploratory Study of a "Chatty Device".

Lakoju, Mike; Ajienka, Nemitari; Khanesar, M Ahmadieh; Burnap, Pete; Branson, David T

Lakoju, Mike; Ajienka, Nemitari; Khanesar, M Ahmadieh; Burnap, Pete; Branson, David T.

Afiliación

Lakoju M; Cardiff School of Technologies, Cardiff Metropolitan University, Western Avenue, Cardiff CF5 2YB, UK.
Ajienka N; Department of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UK.
Khanesar MA; Faculty of Engineering, The University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Burnap P; School of Computer Science & Informatics, Cardiff University, Wales CF10 3AT, UK.
Branson DT; Faculty of Engineering, The University of Nottingham, University Park, Nottingham NG7 2RD, UK.

Sensors (Basel) ; 21(15)2021 Jul 22.

Article en En | MEDLINE | ID: mdl-34372228

Asunto(s)

Algoritmos; Aprendizaje Automático no Supervisado; Análisis por Conglomerados; Caminata

Palabras clave

Chatty Factories; Industry 4.0; IoT; clustering; machine learning; product use activity; sensors

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Aprendizaje Automático no Supervisado Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido

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