Jun 14, 2022 · The authors propose an embedding model that can learn multi-dimensional city data for improving predictive analytics and urban operations.
In this paper, the authors propose a model to learn region embedding. The learned embedding can be used for more accurate prediction by representing discrete ...
Nov 2, 2022 · Dive into the research topics of 'A multi-dimensional city data embedding model for improving predictive analytics and urban operations'.
A multi-dimensional city data embedding model for improving predictive analytics and urban operations. https://doi.org/10.1108/imds-01-2022-0020 ·.
A multi-dimensional city data embedding model for improving predictive analytics and urban operations ... A smart city is a potential solution to the problems ...
This study proposes an approach for delineating urban functional use at the scale of the Lower Layer Super Output Area (LSOA) in Greater London
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The updated region distribution. A multi-dimensional city data embedding model for improving predictive analytics and urban operations. Article. Full-text ...
The data sources used by the predictive model include blood lead level tests and home inspection records, combined with a variety of publicly available data, ...
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Big Data-based Smart City Platform: Real-Time Crime Analysis
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An embedding model that can learn multi-dimensional city data for improving predictive analytics and urban operations is proposed, which can learn more ...
Apr 20, 2021 · We propose a novel method for analyzing urban mobility based on deep learning. The proposed method involves clustering mobility patterns and embedding them to ...