Optimization and Evaluation of Calibration for Low-cost Air Quality Sensors: Supervised and Unsupervised Machine Learning Models.
Petar ZhivkovPublished in: FedCSIS (2021)
Keyphrases
- machine learning models
- air quality
- low cost
- semi supervised
- unsupervised learning
- air pollution
- supervised learning
- machine learning algorithms
- spam filtering
- machine learning approaches
- machine learning
- sensor networks
- unsupervised methods
- optimization problems
- environmental monitoring
- learning algorithm
- spatial databases
- text mining
- predictive model