Data Mining and Fusion Framework for In-Home Monitoring Applications

Sensor Data Fusion (SDT) algorithms and models have been widely used in diverse applications. One of the main challenges of SDT includes how to deal with heterogeneous and complex datasets with different formats. The present work utilised both homogenous and heterogeneous datasets to propose a novel...

Descripción completa

Detalles Bibliográficos
Autores principales: Ekerete, Idongesit, Garcia-Constantino, Matias, Nugent, Christopher, McCullagh, Paul, McLaughlin, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650580/
https://www.ncbi.nlm.nih.gov/pubmed/37960361
http://dx.doi.org/10.3390/s23218661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650580/
https://www.ncbi.nlm.nih.gov/pubmed/37960361
http://dx.doi.org/10.3390/s23218661

Ejemplares similares