A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments.
Tinhinane MezairYoucef DjenouriAsma BelhadiGautam SrivastavaJerry Chun-Wei LinPublished in: Comput. Commun. (2022)
Keyphrases
- fault detection
- deep learning
- heterogeneous data
- data sources
- real world
- industrial processes
- fault diagnosis
- data integration
- decision makers
- fuel cell
- learning strategies
- unsupervised learning
- databases
- knowledge discovery
- data analysis
- natural language
- pattern recognition
- machine learning
- data mining
- neural network