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Yundan Liao

Biographic Data

ID7979443
NAMEYundan Liao
GIVEN NAMESYundan
FAMILY NAMELiao
SIGNATURELIAO Y
AFFILIATIONSGuangzhou University
ORCID0000-0002-0969-6927
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Assessing the impact of land use changes on urban heat risk under different development scenarios

    Open Access•Binwei Zou, Chengliang Fan et al.•ARTICLE•Sustainable Cities and Society•2025

  • Evaluation of energy performance and ecological benefit of free-cooling system for data centers in worldwide climates

    Open Access•Chengliang Fan, Binwei Zou et al.•ARTICLE•Sustainable Cities and Society•2024

  • A deep learning-based model for detecting depression in senior population

    Open Access•Yunhan Lin, Biman Najika Liyanage et al.•ARTICLE•Frontiers in Psychiatry•2022

    This study provides a new method for rapid identification and diagnosis of depression utilizing deep learning technology. Vocal biomarkers extracted from raw speech signals have high potential for the early diagnosis of depression in older adults

  • A hybrid predictive sequencing control for multi-chiller plant with considerations of indoor environment control, energy conservation and economical operation cost

    Open Access•Yundan Liao, Gongsheng Huang•ARTICLE•Sustainable Cities and Society•2019

  • Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales

    Open Access•Chengliang Fan, Yunfei Ding et al.•ARTICLE•Sustainable Cities and Society•2019

No prominent works on this page.

  • A hybrid predictive sequencing control for multi-chiller plant with considerations of indoor environment control, energy conservation and economical operation cost

    Open Access•Yundan Liao, Gongsheng Huang•ARTICLE•Sustainable Cities and Society•2019

  • Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales

    Open Access•Chengliang Fan, Yunfei Ding et al.•ARTICLE•Sustainable Cities and Society•2019

  • A deep learning-based model for detecting depression in senior population

    Open Access•Yunhan Lin, Biman Najika Liyanage et al.•ARTICLE•Frontiers in Psychiatry•2022

    This study provides a new method for rapid identification and diagnosis of depression utilizing deep learning technology. Vocal biomarkers extracted from raw speech signals have high potential for the early diagnosis of depression in older adults

  • Evaluation of energy performance and ecological benefit of free-cooling system for data centers in worldwide climates

    Open Access•Chengliang Fan, Binwei Zou et al.•ARTICLE•Sustainable Cities and Society•2024

  • Assessing the impact of land use changes on urban heat risk under different development scenarios

    Open Access•Binwei Zou, Chengliang Fan et al.•ARTICLE•Sustainable Cities and Society•2025

Engineering (4 works) · Building Energy and Comfort Optimization (3 works) · Computer Science (3 works) · Environmental Science (3 works) · Artificial Intelligence (2 works) · Geography (2 works) · Machine learning (2 works) · Mathematics (2 works) · Statistics (2 works) · Urban Heat Island Mitigation (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae