An Unsupervised PM2.5 Estimation Method With Different Spatio-Temporal Resolutions Based on KIDW-TCGRU.
Canyang GuoGenggeng LiuLingjuan LyuChi-Hua ChenPublished in: IEEE Access (2020)
Keyphrases
- high precision
- experimental evaluation
- detection method
- preprocessing
- spatio temporal
- computational cost
- high accuracy
- significant improvement
- synthetic data
- clustering method
- support vector machine
- estimation accuracy
- estimation algorithm
- density estimation
- feature set
- semi supervised
- neural network
- dynamic programming
- k means
- face recognition
- image sequences
- learning algorithm