Missing data can impair accurate analysis and decision-making. This study presents a novel approach, named CNN-Transformer-based Spatial-Temporal Data Imputation (CTDI), for imputing missing air ...

In the DL framework, the work focuses on two core architectures, Convolutional Neural Networks (CNN) and Transformer models, and assesses their performance individually. Furthermore, it explores the ...