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Titlebook: Context-Aware Systems and Applications; 4th International Co Phan Cong Vinh,Vangalur Alagar Conference proceedings 2016 ICST Institute for

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Rahul Kumar Gupta,Sanjeev Kumar Manhasccur while also ensuring the satisfaction of all waiting or travel times constraints. Results gained from simulations show that a novel approach, based on Adaptive Context Tries (ACT), provides fast response times, bounded complexity and thus scalability.
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Miguel Angel Latouche,Alexandra Gerickeic spatio-temporal inference. The most inference engines determine simply if there is a result from inference or not. However, probabilistic inference methods have emerged and classified problems that cannot be defined easily in the probabilistic way, which provides better results.
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https://doi.org/10.1007/978-3-031-22997-8 recommendation method consists of (.) the similarity calculation between movies based on weighted feature, (.) the generation of initial affinity network graph, and (.) the computation of user’s affinity to group based on the graph. Experimental results on synthetic dataset show that our proposed method can discover social affinities efficiently.
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Spanien: Vormoderner Totalitarismus,ch algorithm based on Depth First Search (DFS) algorithm will recommend the paths which meet demands of drivers based their context such as the paths with include the famous landscapes or the paths where they can find out good restaurants for their break while driving.
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Venezuela – Dimensions of the Crisisautomata and present algorithms to check if a component system met the predefined resource requirements. In particular, we can answer if a component can be plugged into an environment of whether it is a refinement of another component.
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