Forecasting of the Urban Area State Using Convolutional Neural Networks

Forecasting of the Urban Area State Using Convolutional Neural Networks

Active development of modern cities requires not only efﬁcient monitoring systems but furthermore forecasting systems that can predict future state of the urban area with high accuracy. In this work we present a method for urban area prediction based on geospatial activity of users in social network...

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Bibliographic Details
Main Authors:	Ksenia D. Mukhina, Alexander A. Visheratin, Gali-Ketema Mbogo, Denis Nasonov
Format:	Article
Language:	English
Published:	FRUCT 2018-11-01
Series:	Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:	convolutional neural network social network Instagram predictive model urban forecasting
Online Access:	https://fruct.org/publications/fruct23/files/Muk2.pdf

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