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Therefore, selecting a more suitable aerosol model can significantly improve the retrieval precision of AOD.
Then emphasis of the discriminating features are updated to improve the retrieval performance.
Also, the tropopause and troposphere are treated differently in the inverse scheme to improve the retrieval accuracy in the tropopause.
A hybrid similarity is used to synthesize the global and local semantics in documents to improve the retrieval accuracy.
In this paper we try to improve the retrieval step for case based reasoning for preliminary design.
In the proposed CBR system, the case base is constructed based on domain ontology to improve the retrieval efficiency.
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The proposed approach not only remarkably improves the retrieval precision, but also has fast response time.
To develop a document indexing scheme that improves the retrieval effectiveness for free-text medical documents.
A method aimed at improving the retrieval in case of systematic artifacts resulting from, e.g., residual calibration errors, is presented.
Indexing scheme is used to achieve a fast response and relevance feedback helps in improving the retrieval precision.
The experimental results show that the proposed system significantly improves the retrieval accuracy on these datasets and exceeds the state-of-the-art results.
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