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Titlebook: Advances in Spatial and Temporal Databases; 9th International Sy Claudia Bauzer Medeiros,Max J. Egenhofer,Elisa Ber Conference proceedings

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Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Resultsols are needed to produce evacuation plans that identify routes and schedules to evacuate affected populations to safety in the event of natural disasters or terrorist attacks. The existing linear programming approach uses time-expanded networks to compute the optimal evacuation plan and requires a
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Nearest Neighbor Search on Moving Object Trajectoriesthe vehicle for data analysis, thus improving existing or even proposing new services. In this paper, we investigate mechanisms to perform NN search on R-tree-like structures storing historical information about moving object trajectories. The proposed branch-and-bound algorithms vary with respect t
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,Detecting Generated Images by Real Images,, namely, cellular network trajectory and symbolic location tracking. The experimental results show that GAMMA can efficiently and robustly produce high quality moving object datasets for various simulation objectives.
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https://doi.org/10.1007/978-3-031-19800-7iciently and accurately. Our analytical and empirical results show that our approach outperforms the best known change detection approach in terms of both performance and accuracy. Furthermore, unlike the state of the art approaches, our query response time is independent of the number of change points and the user-defined change threshold.
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