Most Cited Articles

Open access

ISSN: 2666-4496
CN: 10-1656/X
p-ISSN: 2096-7527

Impact of Australia's catastrophic 2019/20 bushfire season on communities and environment. Retrospective analysis and current trends

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ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India

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An internet of things assisted drone based approach to reduce rapid spread of COVID-19

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Understanding future changes to fires in southern Europe and their impacts on the wildland-urban interface

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A discussion of irrational stockpiling behaviour during crisis

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Quantification of disaster resilience in civil engineering: A review

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WUI fire risk mitigation in Europe: A performance-based design approach at home-owner level

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Improving sentiment analysis accuracy with emoji embedding

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Safety climate: Current status of the research and future prospects

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AIGC challenges and opportunities related to public safety: A case study of ChatGPT

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Lessons on mobile apps for COVID-19 from China

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Multi-hazard disaster scenario method and emergency management for urban resilience by integrating experiment–simulation–field data

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Similarity-based emergency event detection in social media

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Effect of economic policies on the stock and bond market under the impact of COVID-19

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Assessing urban resilience to public health disaster using the rough analytic hierarchy process method: A regional study in China

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Modelling and analysis of COVID-19 epidemic in India

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A multi-scale agent-based model of infectious disease transmission to assess the impact of vaccination and non-pharmaceutical interventions: The COVID-19 case

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Multi-sensing paradigm based urban air quality monitoring and hazardous gas source analyzing: a review

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Review of analyses on crowd-gathering risk and its evaluation methods

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Offshore system safety and operational challenges in harsh Arctic operations

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Federated transfer learning for disaster classification in social computing networks

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Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities

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Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods

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