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Crowd-Sensing Meets Situation Awareness: A Research Roadmap for Crisis Management.

, , , , and . HICSS, page 153-162. IEEE Computer Society, (2015)

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A Survey on Clustering Techniques for Situation Awareness., , , , and . APWeb, volume 7808 of Lecture Notes in Computer Science, page 815-826. Springer, (2013)Near real-time detection of crisis situations., , , , and . MIPRO, page 247-252. IEEE, (2016)Crowd-Sensing Meets Situation Awareness: A Research Roadmap for Crisis Management., , , , and . HICSS, page 153-162. IEEE Computer Society, (2015)Situation Mining: Event Pattern Mining for Situation Model Induction.. CogSIMA, page 17-25. IEEE, (2019)Probing the Consistency of Situational Information Extraction with Large Language Models: A Case Study on Crisis Computing., and . CogSIMA, page 91-98. IEEE, (2024)Framing Situation Prediction as a Sequence Prediction Problem: A Situation Evolution Model Based on Continuous-Time Markov Chains.. FUSION, page 1-8. IEEE, (2019)CrowdSA - towards adaptive and situation-driven crowd-sensing for disaster situation awareness., , , and . CogSIMA, page 14-20. IEEE, (2015)SEM2 suite - Towards a tool suite for supporting knowledge management in situation awareness systems., , , , and . IRI, page 351-360. IEEE Computer Society, (2014)Staying aware in an evolving world - Specifying and tracking evolving situations., , and . CogSIMA, page 195-201. IEEE, (2014)Reinforcement Learning Meets Cognitive Situation Management: A Review of Recent Learning Approaches from the Cognitive Situation Management Perspective.. CogSIMA, page 76-84. IEEE, (2020)