Uncertainty-Aware Deep Learning Architectures for Highly Dynamic Air Quality Prediction.
Ichrak MokhtariWalid BechkitHervé RivanoMouloud Riadh YaiciPublished in: IEEE Access (2021)
Keyphrases
- highly dynamic
- deep learning
- quality prediction
- image quality
- service oriented
- unsupervised learning
- machine learning
- unsupervised feature learning
- mental models
- weakly supervised
- feature selection
- deep architectures
- higher order
- viewpoint
- natural language processing
- image data
- mobile ad hoc networks
- training set
- pattern recognition