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Soft tissues were contrasted to allow semi-automated data retrieval in a format that would permit data processing for geometrical visualization in different applications and for biomechanical simulations or treatment planning.
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We proposed a method, REx, for performing data-driven information retrieval in a heterogeneous, large repository of transcriptomics studies.
The required promotor data retrieval in this study was achieved in a manual, hand curated manner by direct sequence comparison.
In order to minimize the communication overhead and achieve efficient data retrieval in mobile environments, we propose a reinforcement learning-based framework called PARIS, which utilizes past node trajectory information to predict the near likely nodes in the future as the best content distributee.
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The energy consumption of sensor nodes in data retrieval in the whole network system is solved.
The main goal of this experiment is to show the efficiency of data retrieval in DCMS.
We used the same data mentioned in Section "Efficiency of data retrieval in DCMS" to test the MS data compression method.
Since this paper focuses on the area of data retrieval, in the following, not all operators that can be used for the representation of rule knowledge, are described in detail.
Free-text data retrieval in the medical sector is the subject of many projects.
First, we only tested data retrieval in this part of the simulation.
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