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Smart City Development with Urban Transfer Learning

  • Peking University
  • Hong Kong University of Science and Technology

Research output: Contribution to specialist publicationArticle

54 Scopus citations

Abstract

The governments of many cities just starting smart city development will face a critical cold-start problem: how to develop a new smart city service with limited data. We investigate the common process of urban transfer learning, i.e., leveraging transfer learning to accelerate smart city development, and also provide city planners and relevant practitioners with guidelines for applying this novel learning paradigm.

Original languageEnglish
Pages32-41
Number of pages10
Volume51
No12
Specialist publicationComputer
DOIs
StatePublished - Dec 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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