Smart City Development with Urban Transfer Learning

Leye Wang; Bin Guo; Qiang Yang

doi:10.1109/MC.2018.2880015

Smart City Development with Urban Transfer Learning

Leye Wang, Bin Guo, Qiang Yang

Department of Computer Science and Engineering

Research output: Contribution to trade publication › Article

49 Citations (Scopus)

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 language	English
Pages	32-41
Number of pages	10
Volume	51
No.	12
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2018.2880015
Publication status	Published - Dec 2018

Bibliographical note

Publisher Copyright:
© 1970-2012 IEEE.

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/MC.2018.2880015

Cite this

@misc{e0d2400ed6ef47dea877cc022489a37a,

title = "Smart City Development with Urban Transfer Learning",

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.",

author = "Leye Wang and Bin Guo and Qiang Yang",

note = "Publisher Copyright: {\textcopyright} 1970-2012 IEEE.",

year = "2018",

month = dec,

doi = "10.1109/MC.2018.2880015",

language = "English",

volume = "51",

pages = "32--41",

journal = "Computer",

issn = "0018-9162",

publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Smart City Development with Urban Transfer Learning

AU - Wang, Leye

AU - Guo, Bin

AU - Yang, Qiang

PY - 2018/12

Y1 - 2018/12

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85061380424

U2 - 10.1109/MC.2018.2880015

DO - 10.1109/MC.2018.2880015

M3 - Article

AN - SCOPUS:85061380424

SN - 0018-9162

VL - 51

SP - 32

EP - 41

JO - Computer

JF - Computer

ER -

Smart City Development with Urban Transfer Learning

Abstract

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this