Works matching IS 09660879 AND DT 2020 AND VI 28 AND IP 3
Results: 15
Do intentions indicate actual behaviour? A comparison between scenario‐based experiments and real‐time observations of warning response.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 240, doi. 10.1111/1468-5973.12318
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PROMES: An ontology‐based messaging service for semantically interoperable information exchange during disaster response.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 324, doi. 10.1111/1468-5973.12315
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Knowledge, semantics and AI for risk and crisis management.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 174, doi. 10.1111/1468-5973.12322
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AI‐Powered mental health chatbots: Examining users' motivations, active communicative action and engagement after mass‐shooting disasters.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 339, doi. 10.1111/1468-5973.12319
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Handling effective communication to support awareness in rescue operations.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 307, doi. 10.1111/1468-5973.12317
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Data‐driven model for river flood forecasting based on a Bayesian network approach.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 215, doi. 10.1111/1468-5973.12316
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What happens where during disasters? A Workflow for the multifaceted characterization of crisis events based on Twitter data.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 262, doi. 10.1111/1468-5973.12321
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Improving emergency preparedness to cascading disasters: A case‐driven risk ontology modelling.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 194, doi. 10.1111/1468-5973.12314
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- Article
A mathematical model for the diffusion of emergency warning messages during CBRNe emergencies.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 228, doi. 10.1111/1468-5973.12313
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Issue Information.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 173, doi. 10.1111/1468-5973.12272
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- Article
Using deep learning and social network analysis to understand and manage extreme flooding.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 251, doi. 10.1111/1468-5973.12311
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An AI framework and a metamodel for collaborative situations: Application to crisis management contexts.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 291, doi. 10.1111/1468-5973.12310
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A comprehensive system for semantic spatiotemporal assessment of risk in urban areas.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 178, doi. 10.1111/1468-5973.12309
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- Article
Improving automated crisis detection via an improved understanding of crisis language: Linguistic categories in social media crises.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 281, doi. 10.1111/1468-5973.12308
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Participatory Bayesian modelling for sustainable and efficient river restoration projects: Feedback from the case study of the Gave de Pau River, Hautes‐Pyrénées, France.
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- Journal of Contingencies & Crisis Management, 2020, v. 28, n. 3, p. 355, doi. 10.1111/1468-5973.12312
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- Article