| Autor: |
Rijanto, Tri, Kumar, B. Santhosh, Sameen, Aws Zuhair, Singh, Takveer, Pimple, Suruchi, Patil, Swati M. |
| Předmět: |
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| Zdroj: |
Fusion: Practice & Applications; 2024, Vol. 15 Issue 2, p173-186, 14p |
| Abstrakt: |
We have discovered five novel strategies to enhance data fusion in complex systems. This page provides a comprehensive explanation of these five methodologies. Data may be combined with a list. Examples of techniques include entropy-based data selection and parameter optimization for data fusion. This technique effectively resolves all problems related to merging records. Accurate, rapid, and easily expandable. Ablation studies assess the effectiveness of various techniques. Every process is crucial; omitting anyone would adversely affect the mix. This approach may integrate data from several sources to guarantee accuracy and utility. This facilitates the use of intricate technologies, hence enhancing data integration. The study promotes further inquiry and implementation. These results indicate that using this method might enhance the process of combining data. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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