A review of computer graphics approaches to urban modeling from a machine learning perspective

被引:0
|
作者
Feng, Tian [1 ]
Fan, Feiyi [2 ]
Bednarz, Tomasz [3 ,4 ]
机构
[1] Department of Computer Science and Information Technology, La Trobe University, Melbourne,VIC,3086, Australia
[2] Institute of Computing Technology, Chinese Academy of Sciences, Beijing,100190, China
[3] Expanded Perception and Interaction Centre, University of New South Wales, Sydney,NSW,2021, Australia
[4] CSIRO’s Data61, Sydney,NSW,2015, Australia
来源
Frontiers of Information Technology and Electronic Engineering | 2021年 / 22卷 / 07期
关键词
Deep learning;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:915 / 925
相关论文
共 50 条
  • [31] Understanding the user perspective on urban public spaces: A systematic review and opportunities for machine learning
    Zhu, Yihan
    Zhang, Ye
    Biljecki, Filip
    CITIES, 2025, 156
  • [32] Automatic Annotated Farm Image Generation from 3D Computer Graphics for Machine Learning
    Kubo, Hideto
    Kobayashi, Kazuki
    Aoyagi, Yuya
    2022 JOINT 12TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS AND 23RD INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (SCIS&ISIS), 2022,
  • [33] Towards a Sustainable Urban Future: A Comprehensive Review of Urban Heat Island Research Technologies and Machine Learning Approaches
    Ghorbany, Siavash
    Hu, Ming
    Yao, Siyuan
    Wang, Chaoli
    SUSTAINABILITY, 2024, 16 (11)
  • [34] Machine learning approaches to characterize the obesogenic urban exposome
    Ohanyan, Haykanush
    Portengen, Lutzen
    Huss, Anke
    Traini, Eugenio
    Beulens, Joline W. J.
    Hoek, Gerard
    Lakerveld, Jeroen
    Vermeulen, Roel
    ENVIRONMENT INTERNATIONAL, 2022, 158
  • [35] A perspective on machine learning methods in turbulence modeling
    Beck A.
    Kurz M.
    GAMM Mitteilungen, 2021, 44 (01)
  • [36] Learning from the Past? A Review of Approaches to Spatial Targeting in Urban Policy
    Rae, Alasdair
    PLANNING THEORY & PRACTICE, 2011, 12 (03) : 331 - 348
  • [37] A review of machine learning approaches to Spam filtering
    Guzella, Thiago S.
    Caminhas, Walmir M.
    EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (07) : 10206 - 10222
  • [38] A Review of NILM Applications with Machine Learning Approaches
    Silva, Maheesha Dhashantha
    Liu, Qi
    CMC-COMPUTERS MATERIALS & CONTINUA, 2024, 79 (02): : 2971 - 2989
  • [39] A Review of Machine Learning Approaches in Synchrophasor Technology
    Lal, M. Dhinu
    Varadarajan, Ramesh
    IEEE ACCESS, 2023, 11 : 33520 - 33541
  • [40] Unifying computer forensics modeling approaches: A software engineering perspective
    Bogen, AC
    Dampier, DA
    FIRST INTERNATIONAL WORKSHOP ON SYSTEMATIC APPROACHES TO DIGITAL FORENSIC ENGINEERING, PROCEEDINGS, 2005, : 27 - 39