Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference

arXiv:2109.09506v3 Announce Type: replace
Abstract: Sensors are the key to environmental monitoring, which impart benefits to smart cities in many aspects, such as providing real-time air quality information to assist human decision-making. However, it is impractical to deploy massive sensors due to the expensive costs, resulting in sparse data collection. Therefore, how to get fine-grained data measurement has long been a pressing issue. In this paper, we aim to infer values at non-sensor locations based on observations from available sensors …

abstract air quality arxiv benefits cities collection costs cs.ai cs.lg data data collection decision deploy environmental however human inference information key making massive monitoring patterns quality real-time sensors smart smart cities the key type