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Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
April 24, 2024, 4:43 a.m. | Junfeng Hu, Yuxuan Liang, Zhencheng Fan, Li Liu, Yifang Yin, Roger Zimmermann
cs.LG updates on arXiv.org arxiv.org
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
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