Knowledge-Guided Temporal Representation Learning for Air Pollution Forecasting (A Case Study of Nasiriyah City)
Air pollution prediction is a key research problem due to its direct impact on public health and the urban environment. Moreover, because air pollutants are dynamic and nonlinear, this poses a complex challenge for time-series modeling. However, while there has been significant development in the use of deep learning–b...