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刘昭阁
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[21]LZG,A cross-domain knowledge transfer method for process discovery of urban community services with small datasets.Business Process Management Journal,2022,2022年第4期：1005-1024(2022年第4期：1005-1024):2022年第4期：1005-1024.
[22]LZG,Scenario Modeling for Government Big Data Governance Decision-making: Chinese Experience with Public Safety Services.Information & Management,2022,2022年第3期：103622(2022年第3期：103622):2022年第3期：103622.
[23]LZG,Interpretation of Discrepancies between Cities in the Transmission of COVID-19: Evidence from China in the First Weeks of the Pandemic.International Journal of Infectious Diseases,2022,2022年：203-210(2022年：203-210):2022年：203-210.
[24]LZG,Case-driven assessment of power grid emergency response capability considering typhoon disaster scenario diversity.Journal of Cleaner Production,2023,386
[25]LZG,Towards rainstorm event identification: A transfer learning framework using citizen-report texts and multi-source spatial data.INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,2021,83
[26]LZG,Rainstorm-Induced Emergency Recognition from Citizens' Communications Based on Spatial Feature Extraction and Transfer Learning.Natural Hazards Review,2023,24(1):
[27]LZG,Effects of governmental data governance on urban fire risk: A city-wide analysis in China.INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION,2021,78
[28]LZG,A cross-domain knowledge transfer method for process discovery of urban community services with small datasets.BUSINESS PROCESS MANAGEMENT JOURNAL,2021,
[29]LZG,Interpretation of Discrepancies between Cities in the Transmission of COVID-19: Evidence from China in the First Weeks of the Pandemic.INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES,2021,118203-210.
[30]LZG,scenario modeling for government big data governance decision-making: Chinese experience with public safety services.Information and Management,2021,59(3):
total47 3/5
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