Compensating Altered Sensitivity of Duty-Cycled MOX Gas Sensors with Machine Learning.
Markus-Philipp GhermanYun ChengAndres GomezOlga SaukhPublished in: SECON (2021)
Keyphrases
- machine learning
- genetic algorithm
- natural language processing
- pattern recognition
- machine learning algorithms
- high sensitivity
- real time
- sensitivity analysis
- learning systems
- sensor networks
- active learning
- decision trees
- learning algorithm
- data fusion
- computer vision
- text classification
- machine learning methods
- imaging sensors
- artificial intelligence
- explanation based learning
- text mining
- computer science
- knowledge acquisition
- multi sensor
- supervised learning
- data aggregation
- learning tasks
- feature selection
- machine learning approaches
- learning problems
- circuit board
- kernel methods
- statistical methods
- transfer learning
- sensor data
- model selection
- computational intelligence
- information extraction
- knowledge representation
- data analysis
- information retrieval
- data sets