Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network.
Xuening QinTien Huu DoJelle HofmanEsther Rodrigo BonetValerio Panzica La MannaNikos DeligiannisWilfried PhilipsPublished in: ICIAI (2021)
Keyphrases
- context aware
- sensor networks
- random forest
- air quality
- environmental monitoring
- mobile devices
- sensor data
- mobile users
- mobile computing
- context awareness
- wireless sensor networks
- base station
- context aware systems
- mobile applications
- energy consumption
- ubiquitous computing
- decision trees
- data streams
- mobile environments
- context aware services
- feature set
- mobile sensor networks
- data collection
- communication cost
- sensor nodes
- ambient intelligence
- ensemble methods
- data aggregation
- smart home
- multi label
- urban areas
- routing protocol
- network traffic
- mobile networks