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刘昭阁
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[11]LZG.Knowledge ontology configuration for vulnerability association analysis of urban critical infrastructure networks.Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice,2022,43(1):222-233.
[12]LZG,A Method for Urban Rainstorm Cascading Disaster Scenario Converting Deduction by Integrating Multi-Source Spatial Data.Journal of Geo-Information Science,2022,25(12):2329-2339.
[13]LZG,基于案例源证据推理法的城市安全大数据治理能力成熟度评价.系统管理学报,2023,32(06):1243-1254.
[14]LZG,融合多源空间数据的城市暴雨级联灾害情景态势转化推演方法.地球信息科学学报,2023,25(12):2329-2339.
[15]刘昭阁,Rainstorm-Induced Emergency Recognition from Citizens' Communications Based on Spatial Feature Extraction and Transfer Learning.[J].Natural Hazards Review,2023,24(01):1-17.
[16]刘昭阁,城市关键基础设施网络脆弱性关联分析的知识本体配置.[J].系统工程理论与实践,2023,43(01):222-233.
[17]LZG,Case-driven assessment of power grid emergency response capability considering typhoon disaster scenario diversity.Journal of Cleaner Production,2023,386(386):386.
[18]LZG,城市关键基础设施网络脆弱性关联分析的知识本体配置.系统工程理论与实践,2023,43(1): 222-233(43(1): 222-233):43(1): 222-233.
[19]LZG,Towards rainstorm event identification: A transfer learning framework using citizen-report texts and multi-source spatial data.International Journal of Disaster Risk Reduction,2022,83(83):83.
[20]LZG,Effects of governmental data governance on urban fire risk: A city-wide analysis in China.International Journal of Disaster Risk Reduction,2022,2022年78：103138(2022年78：103138):2022年78：103138.
total47 2/5
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