Cargando…
A Fuzzy-Ontology Based Diabetes Monitoring System Using Internet of Things
The majority of the Internet-of-things (IoT)-based health monitoring systems adopt ontologies to represent and interoperate the huge quantity of data collected. Classical ontologies cannot appropriately treat imprecise and ambiguous knowledge. The integration of Fuzzy logic theory with ontology can...
Autores principales: | Titi, Sondes, Ben Elhadj, Hadda, Chaari Fourati, Lamia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313279/ http://dx.doi.org/10.1007/978-3-030-51517-1_25 |
Ejemplares similares
-
Combined Machine Learning and Semantic Modelling for Situation Awareness and Healthcare Decision Support
por: Henaien, Amira, et al.
Publicado: (2020) -
Remote Health Monitoring Systems Based on Bluetooth Low Energy (BLE) Communication Systems
por: Chaari Fourati, Lamia, et al.
Publicado: (2020) -
An Ontology-Based Cybersecurity Framework for the Internet of Things
por: Mozzaquatro, Bruno Augusti, et al.
Publicado: (2018) -
Advances onto the Internet of Things: how ontologies make the Internet of Things meaningful
por: Gaglio, Salvatore, et al.
Publicado: (2014) -
Ontology-Defined Middleware for Internet of Things Architectures
por: Caballero, Víctor, et al.
Publicado: (2019)