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In this paper, the Bayesian estimation method is used to deal with multi-source data. It is proved by experiments that the algorithm is effective for the fusion ...
In this paper, based on the. Bayesian estimation of multi-source data fusion method, data processing, the existing research results at home and abroad were ...
A novel multi-source data fusion method based on Bayesian inference (BIF) was proposed in this study to blend the advantages of in-situ observations and remote ...
A novel multi-source data fusion method based on Bayesian inference (BIF) was proposed in this study to blend the advantages of in-situ observations and remote ...
A novel multi-source data fusion method based on Bayesian inference (BIF) was proposed in this study to blend the advantages of in-situ observations and ...
A novel multi-source data fusion method based on Bayesian inference (BIF) was proposed in this study to blend the advantages of in-situ observations and ...
Jul 4, 2022 · In this paper, a multimodal interactive function fusion model based on attention mechanism is proposed, which provides more efficient and accurate information ...
Abstract—The experimental data used for system performance evaluation have many sources and multiple granularity. Thus, it is necessary to fuse multi-source ...
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May 31, 2024 · In this paper, a multimodal interactive function fusion model based on attention mechanism is proposed, which provides more efficient and ...
A novel multi-source data fusion method based on Bayesian inference (BIF) was proposed in this study to blend the advantages of in-situ observations and ...