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Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident.

, , , and . Eng. Appl. Artif. Intell., (2015)

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Modeling Uncertain and Dynamic Casualty Health in Optimization-Based Decision Support for Mass Casualty Incident Response., , , and . IJISCRAM, 5 (2): 32-44 (2013)Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident., , , and . Eng. Appl. Artif. Intell., (2015)Calibration of uncertainty in the active learning of machine learning force fields., , and . Mach. Learn. Sci. Technol., 4 (4): 45034 (December 2023)Design decisions in the development of an agent-based simulation for large-scale emergency response., , , and . ISCRAM, LNEC, Lisbon, Portugal, (2011)Gated Task Interaction Framework for Multi-task Sequence Tagging., , , and . IJCNN, page 1-8. IEEE, (2019)STORMI: An agent-based simulation environment for evaluating responses to major incidents in the UK., , , and . ISCRAM, Simon Fraser University, Vancouver, Canada, (2012)Multi-Asset Market Making via Multi-Task Deep Reinforcement Learning., , , and . LOD, volume 13164 of Lecture Notes in Computer Science, page 353-364. Springer, (2021)Centrality-Based Approach for Supervised Term Weighting., , , and . ICDM Workshops, page 1261-1268. IEEE Computer Society, (2016)Prediction of the Basicities of Pyridines in the Gas Phase and in Aqueous Solution., , and . Journal of Chemical Information and Modeling, 50 (1): 87-96 (2010)Dual contextual module for neural machine translation., , and . Mach. Transl., 35 (4): 571-593 (2021)