A transferred spatio-temporal deep model based on multi-LSTM auto-encoder for air pollution time series missing value imputation.
Xiaoxia ZhangPengcheng ZhouPublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- missing values
- air pollution
- spatio temporal
- missing data
- data imputation
- air quality
- incomplete data
- missing data imputation
- spatial and temporal
- bit rate
- high dimensional data
- incomplete data sets
- moving objects
- image sequences
- noisy data
- motion estimation
- recurrent neural networks
- multivariate time series
- imputation methods
- pattern recognition
- multiple imputation
- learning algorithm
- machine learning