A Machine Learning-Based Approach to Calibrate Low-Cost Particulate Matter Sensors.
André F. PastórioFabio A. SpanholLeila D. MartinsEdson Tavares de CamargoPublished in: SBESC (2022)
Keyphrases
- low cost
- machine learning
- low cost sensors
- real time
- data acquisition
- low power
- machine learning methods
- sensor networks
- explanation based learning
- pattern recognition
- knowledge acquisition
- rfid tags
- data mining
- information extraction
- learning algorithm
- decision trees
- data fusion
- active learning
- text mining
- computational intelligence
- machine learning approaches
- multi sensor
- artificial intelligence
- computer vision
- inductive learning
- statistical methods
- natural language processing
- computational biology
- learning tasks
- camera calibration
- sensor data
- learning systems
- machine learning algorithms
- feature selection
- knowledge discovery
- infrared
- natural language
- data analysis