Automatic strain sensor design via active learning and data augmentation for soft machines.
Haitao YangJiali LiKai Zhuo LimChuanji PanTien Van TruongQian WangKerui LiShuo LiXiao XiaoMeng DingTianle ChenXiaoli LiuQian XiePablo Valdivia y AlvaradoXiaonan WangPo-Yen ChenPublished in: Nat. Mach. Intell. (2022)
Keyphrases
- active learning
- data sets
- sensor data
- knowledge discovery
- data collection
- high quality
- training data
- data structure
- database
- data sources
- statistical analysis
- data processing
- input data
- experimental data
- raw data
- original data
- case study
- data quality
- sensor networks
- learning strategies
- data distribution
- experimental design
- missing data
- labeled data
- small number
- semi supervised
- probability distribution
- user interface
- decision trees
- real time