Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications.
Francesco PiccialliFabio GiampaoloDavid CamachoGang MeiPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- industrial applications
- machine learning
- computer science
- artificial intelligence
- data mining
- special issue
- machine learning methods
- industrial systems
- pattern recognition
- text mining
- information extraction
- machine learning approaches
- machine learning algorithms
- computational intelligence
- support vector machine
- learning algorithm
- computational modeling
- systems engineering
- text classification
- proceedings of the th international conference
- active learning
- learning tasks
- feature selection
- inductive learning
- decision trees
- real world
- scientific discovery
- science education
- genetic algorithm
- case study
- reinforcement learning
- natural language
- natural language processing
- database
- artificial neural networks
- knowledge discovery