Name
Abstract | ||
|---|---|---|
The advent of the Internet of Things (IoT) and its innumerous applications for Smart Cities emphasizes the need for context-aware systems able to adapt behavior automatically to instant environment conditions. Currently, there is a gap in terms of understanding how context information is interrelated, as well as tracking which events occurred under which conditions within certain context scopes. V... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JIOT.2017.2748037 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Context modeling,Smart cities,Cognition,Monitoring,Intelligent sensors | Data science,Energy management,Graph,World Wide Web,Intelligent sensor,Computer science,Internet of Things,Context model,Distributed computing,Scalability | Journal |
Volume | Issue | ISSN |
5 | 2 | 2327-4662 |
Citations | PageRank | References |
2 | 0.40 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Alberto Kamienski | 1 | 77 | 10.32 |
| Fabrizio Ferreira Borelli | 2 | 28 | 2.65 |
| Gabriela Oliveira Biondi | 3 | 4 | 0.79 |
| Isaac Pinheiro | 4 | 2 | 0.40 |
| Ivan D. Zyrianoff | 5 | 2 | 0.73 |
| Marc Jentsch | 6 | 69 | 6.57 |