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Feb 4, 2023 · A WSN data fusion method based on machine learning is proposed. Establish the wireless sensor network model, collect the WSN network data through the ...
Feb 4, 2023 · Based on the preliminary fusion results of WSN network data, the Bayesian inference method in machine learning algorithm is used to further fuse ...
Oct 22, 2024 · This paper presents a new WSN topology that incorporates the Mobility-Efficient Data Fusion (MEDF) algorithm, which integrates a data- ...
Apr 14, 2024 · Based on machine learning techniques, a Deep Stacked Auto‐Encoder (DSAE) model is constructed and trained using a layer‐wise greedy approach. By ...
The algorithm improves the traditional clustering routing protocol and introduces a deep learning model to build the data fusion algorithm based on the ...
Missing: machine | Show results with:machine
Based on the preliminary fusion results of WSN network data, the Bayesian inference method in machine learning algorithm is used to further fuse WSN network ...
Based on machine learning techniques, a Deep Stacked Auto‐Encoder (DSAE) model is constructed and trained using a layer‐wise greedy approach. By combining this ...
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Based on machine learning techniques, a Deep Stacked Auto‐Encoder (DSAE) model is constructed and trained using a layer‐wise greedy approach. By combining this ...
An efficient intelligent data fusion algorithm named GAPSOBP is put forward which integrating BP neural network, genetic algorithm and particle swarm ...
Energy optimized data fusion approach for scalable wireless ...
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The proposed fused deep learning-based data mining method (RNN-LSTM) mitigates the data fitting and enhances the dynamic routing and balancing load at the WSN ...
Missing: method machine