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A Survey on Clustering Techniques for Situation Awareness., , , , и . APWeb, том 7808 из Lecture Notes in Computer Science, стр. 815-826. Springer, (2013)Near real-time detection of crisis situations., , , , и . MIPRO, стр. 247-252. IEEE, (2016)Crowd-Sensing Meets Situation Awareness: A Research Roadmap for Crisis Management., , , , и . HICSS, стр. 153-162. IEEE Computer Society, (2015)Situation Mining: Event Pattern Mining for Situation Model Induction.. CogSIMA, стр. 17-25. IEEE, (2019)Probing the Consistency of Situational Information Extraction with Large Language Models: A Case Study on Crisis Computing., и . CogSIMA, стр. 91-98. IEEE, (2024)CrowdSA - towards adaptive and situation-driven crowd-sensing for disaster situation awareness., , , и . CogSIMA, стр. 14-20. IEEE, (2015)Framing Situation Prediction as a Sequence Prediction Problem: A Situation Evolution Model Based on Continuous-Time Markov Chains.. FUSION, стр. 1-8. IEEE, (2019)SEM2 suite - Towards a tool suite for supporting knowledge management in situation awareness systems., , , , и . IRI, стр. 351-360. IEEE Computer Society, (2014)Mining the disaster hotspots - situation-adaptive crowd knowledge extraction for crisis management., , , и . CogSIMA, стр. 212-218. IEEE, (2016)Reinforcement Learning Meets Cognitive Situation Management: A Review of Recent Learning Approaches from the Cognitive Situation Management Perspective.. CogSIMA, стр. 76-84. IEEE, (2020)