On the Performance of Machine Learning at the Network Edge to Detect Industrial IoT Faults.
Yuri SantoBruno Lopes DalmazoRoger ImmichAndré RikerPublished in: NCA (2022)
Keyphrases
- machine learning
- network model
- edge detection
- learning tasks
- artificial intelligence
- machine learning methods
- network traffic
- automatic detection
- management system
- information extraction
- machine learning algorithms
- cloud computing
- industrial applications
- edge information
- explanation based learning
- abnormal events
- network attacks
- supervised learning
- pattern recognition
- feature selection
- learning algorithm
- detection algorithm
- knowledge acquisition
- complex networks
- text mining
- wireless sensor networks
- active learning
- data analysis
- model based diagnosis
- fault detection
- computer vision