云南高校图书馆联盟文献共享服务平台- Journal of Safety Science and Resilience

《Journal of Safety Science and Resilience》: 作品数：162被引量：130H指数：6; 导出分析报告; 主办单位：中国科技出版传媒有限公司; 最新期次：2024年4期更多>>; 发文主题：RESILIENCEBASED_ONDISASTEREVACUATIONRISK_ASSESSMENT更多>>; 发文领域：环境科学与工程自动化与计算机技术医药卫生经济管理更多>>; 发文基金：国家自然科学基金国家重点基础研究发展计划国家社会科学基金中国博士后科学基金更多>>

Journal of Safety Science and Resilience Editorial Board: 《Journal of Safety Science and Resilience》2024年第4期F0002-F0002,共1页

Comfort assessment of wind induced vibrations for slender structures by field monitoring and numerical analysis: 《Journal of Safety Science and Resilience》2024年第4期383-399,共17页D.Kesavan Periyasamy Vinay Shimpi Madappa VR Sivasubramanian; the National Institute of Technology Puducherry,Karaikal,India,which is being supervised by the corresponding author;The first author is also working as a Technical Assistant in the Department of Civil Engineering at the National Institute of Technology Puducherry.The authors are thankful to the National Institute of Technology Puducherry for providing the experimental and computational facilities.; Slender structures often lead to vibration discomfort for occupants when exposed to wind forces.This study proposes an innovative method for assessing comfort against wind-induced vibrations for slender structures tha...; 关键词：Ambient vibration test Human vibration comfort Modal analysis Peak acceleration Slender structure Wave superposition Wind loads

A spatial scene reconstruction framework in emergency response scenario: 《Journal of Safety Science and Resilience》2024年第4期400-412,共13页Nan Zheng Danhuai Guo; supported in part by the Fundamental Research Funds for the Central Universities of Beijing University of Chemical Technology(Grant No.BUCTRC202132);the National Natural Science Foundation of China(Grant Nos.42371476 and 41971366).; Rapid and accurate acquisition and analysis of information is crucial for emergency management,but traditional methods have limitations such as incomplete information acquisition and slow processing speed.The natural ...; 关键词：Spatial scene Spatial cognitive bias Natural language processing Emergency management

Multi-factor coupled forest fire model based on cellular automata: 《Journal of Safety Science and Resilience》2024年第4期413-421,共9页Zhou Fangrong Guo Yuning Qian Guochao Ma Yi Wang Guofang; supported by the Major Scientific and Technological Projects of Yunnan Province: Research on Key Technologies of Ecological Environment Monitoring and Intelligent Management of Natural Resources in Yunnan (202202AD080010).; The risk of forest fires is substantial due to uneven precipitation distributions and abnormal climate change.This study employs cellular automata principles to analyze forest fire behavior,taking into account meteoro...; 关键词：Cellular automata Forest fire spread Forest fires Forest fire prevention Forest fire model

YOLOv8-EMSC:A lightweight fire recognition algorithm for large spaces: 《Journal of Safety Science and Resilience》2024年第4期422-431,共10页Deng Li Tan Yang Zhou Jin Wu Si-qi Liu Quan-yi; Stringent fire prevention requirements are imperative in expansive environments. Fire detection in diverse large-scale settings typically relies on sensor-based or AI-driven target detection methods. Traditional fire ...; 关键词：Fire detection Large space LIGHTWEIGHT YOLOv8 YOLOv8-EMSC

Improving the industrial safety management system at enterprises with chemically hazardous sites: 《Journal of Safety Science and Resilience》2024年第4期432-448,共17页Pavel V.Yemelin Sergey S.Kudryavtsev Natalya K.Yemelina; funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (Grant No. AP09259869).; This study focuses on developing an industrial and occupational safety management system for enterprises that contain chemically hazardous sites. The methodology, based on an expert approach, enabled the authors to de...; 关键词：Occupational safety Industrial safety Chemical safety Hazardous chemical Chemically hazardous site Risk assessment Risk management

Determination of individual disaster resilience levels of hospital staff: A case study of Kartal Dr. Lütfi Kirdar City Hospital: 《Journal of Safety Science and Resilience》2024年第4期449-459,共11页EmineÜstünoldu; Istanbul is one of Turkey's most important financial and industrial centers, and it is located in a region with a high potential for seismicity. Due to its historical architecture and high level of urbanization, the c...; 关键词：DISASTER RESILIENCE Individual disaster resilience Community disaster resilience Urban disaster resilience EARTHQUAKE Earthquake resistance

Exploring the risks of automation bias in healthcare artificial intelligence applications:A Bowtie analysis: 《Journal of Safety Science and Resilience》2024年第4期460-469,共10页Moustafa Abdelwanis Hamdan Khalaf Alarafati Maram Muhanad Saleh Tammam Mecit Can Emre Simsekler; This study conducts an in-depth review and Bowtie analysis of automation bias in AI-driven Clinical Decision Support Systems (CDSSs) within healthcare settings. Automation bias, the tendency of human operators to over...; 关键词：Artificial intelligence Automation bias Decision support systems Medical errors Patient safety Bowtie analysis

Risk assessment of fire casualty in underground commercial building based on FFTA-BN model: 《Journal of Safety Science and Resilience》2024年第4期470-485,共16页Wenjun Fu Jintao Li Jinghong Wang Jialin Wu; sponsored by the National Natural Science Foundation of China(No.52374208);the Major Natural Science Research Projects in Colleges and Universities of Jiangsu Province(No.23KJA620002);the Qinglan Project of Jiangsu Province and a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.; With the development of urbanization, underground commercial buildings (UCB) are facing severe challenges in fire safety management due to their unique structure and environmental characteristics. This study construct...; 关键词：Underground commercial building fire incidents Risk of fire casualty Fuzzy fault tree analysis Bayesian network Expert evaluation

DyHDGE:Dynamic heterogeneous transaction graph embedding for safety-centric fraud detection in financial scenarios: 《Journal of Safety Science and Resilience》2024年第4期486-497,共12页Xinzhi Wang Jiayu Guo Xiangfeng Luo Hang Yu; supported in part by the National Key Research and Development Program of China(2021YFC3300602);the National Natural Science Foundation of China(grant no.72204155);the Natural Science Foundation of Shanghai(grant no.23ZR1423100).; Dynamic graph fraud detection aims to distinguish fraudulent entities that deviate significantly from most benign entities within an ever-changing graph network.However,when dealing with different financial fraud scen...; 关键词：Dynamic graph learning Fraud detection Graph neural network Temporal information

《Journal of Safety Science and Resilience》