Toward autonomous detection of anomalous GNSS data via applied unsupervised artificial intelligence.
Mike DyeD. Sarah StampsMyles MasonElifuraha SariaPublished in: TransAI (2021)
Keyphrases
- artificial intelligence
- data sets
- data analysis
- detect anomalies
- synthetic data
- data structure
- original data
- probability distribution
- small number
- statistical analysis
- intelligent systems
- training data
- input data
- data mining techniques
- data distribution
- knowledge discovery
- raw data
- data objects
- data processing
- experimental data
- database
- spatial data
- computer systems
- object detection
- data sources
- xml documents
- data mining
- high quality