Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312449362> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4312449362 endingPage "1" @default.
- W4312449362 startingPage "1" @default.
- W4312449362 abstract "One of the open challenges in machine learning is multi-modal data classification. A classifier model needs to be enhanced to deal with multi-modal data. This study is proposed to develop multi-codebook neural networks using intelligent Gaussian mixture model clustering for multi-modal data classification. The intelligent Gaussian mixture model clustering is developed in this study prior to the development of multi-codebook models. The method analyzes the gradient of input data histogram to find the number of generated mixtures and cluster the data. The proposed multi-codebook neural network model has three variants based on the rules to fund the number of clusters. The experiment result showed that the proposed three variants of multi-codebook models performed well in the synthetic and benchmark datasets. The proposed model improved the original method by 24.14%, 15.97%, and 3.71% accuracy and 0.3510, 0.0487, and 0.2031 kappa for synthetic datasets, benchmark datasets, and overall datasets respectively. By using the ANOVA test, we have proved that all three variants of the proposed multi-codebook neural network were proved to have significant improvements compared to the original version." @default.
- W4312449362 created "2023-01-04" @default.
- W4312449362 creator A5048298559 @default.
- W4312449362 creator A5050555459 @default.
- W4312449362 creator A5069933043 @default.
- W4312449362 date "2022-01-01" @default.
- W4312449362 modified "2023-10-01" @default.
- W4312449362 title "Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data Classification" @default.
- W4312449362 doi "https://doi.org/10.1109/access.2022.3213674" @default.
- W4312449362 hasPublicationYear "2022" @default.
- W4312449362 type Work @default.
- W4312449362 citedByCount "0" @default.
- W4312449362 crossrefType "journal-article" @default.
- W4312449362 hasAuthorship W4312449362A5048298559 @default.
- W4312449362 hasAuthorship W4312449362A5050555459 @default.
- W4312449362 hasAuthorship W4312449362A5069933043 @default.
- W4312449362 hasBestOaLocation W43124493621 @default.
- W4312449362 hasConcept C115961682 @default.
- W4312449362 hasConcept C119857082 @default.
- W4312449362 hasConcept C121332964 @default.
- W4312449362 hasConcept C124101348 @default.
- W4312449362 hasConcept C127759330 @default.
- W4312449362 hasConcept C13280743 @default.
- W4312449362 hasConcept C153180895 @default.
- W4312449362 hasConcept C154945302 @default.
- W4312449362 hasConcept C163716315 @default.
- W4312449362 hasConcept C16910744 @default.
- W4312449362 hasConcept C185798385 @default.
- W4312449362 hasConcept C199360897 @default.
- W4312449362 hasConcept C205649164 @default.
- W4312449362 hasConcept C41008148 @default.
- W4312449362 hasConcept C50644808 @default.
- W4312449362 hasConcept C53533937 @default.
- W4312449362 hasConcept C61224824 @default.
- W4312449362 hasConcept C62520636 @default.
- W4312449362 hasConcept C67186912 @default.
- W4312449362 hasConcept C73555534 @default.
- W4312449362 hasConcept C77088390 @default.
- W4312449362 hasConceptScore W4312449362C115961682 @default.
- W4312449362 hasConceptScore W4312449362C119857082 @default.
- W4312449362 hasConceptScore W4312449362C121332964 @default.
- W4312449362 hasConceptScore W4312449362C124101348 @default.
- W4312449362 hasConceptScore W4312449362C127759330 @default.
- W4312449362 hasConceptScore W4312449362C13280743 @default.
- W4312449362 hasConceptScore W4312449362C153180895 @default.
- W4312449362 hasConceptScore W4312449362C154945302 @default.
- W4312449362 hasConceptScore W4312449362C163716315 @default.
- W4312449362 hasConceptScore W4312449362C16910744 @default.
- W4312449362 hasConceptScore W4312449362C185798385 @default.
- W4312449362 hasConceptScore W4312449362C199360897 @default.
- W4312449362 hasConceptScore W4312449362C205649164 @default.
- W4312449362 hasConceptScore W4312449362C41008148 @default.
- W4312449362 hasConceptScore W4312449362C50644808 @default.
- W4312449362 hasConceptScore W4312449362C53533937 @default.
- W4312449362 hasConceptScore W4312449362C61224824 @default.
- W4312449362 hasConceptScore W4312449362C62520636 @default.
- W4312449362 hasConceptScore W4312449362C67186912 @default.
- W4312449362 hasConceptScore W4312449362C73555534 @default.
- W4312449362 hasConceptScore W4312449362C77088390 @default.
- W4312449362 hasFunder F4320323819 @default.
- W4312449362 hasLocation W43124493621 @default.
- W4312449362 hasOpenAccess W4312449362 @default.
- W4312449362 hasPrimaryLocation W43124493621 @default.
- W4312449362 hasRelatedWork W1484682289 @default.
- W4312449362 hasRelatedWork W1498259939 @default.
- W4312449362 hasRelatedWork W1789705271 @default.
- W4312449362 hasRelatedWork W1983610137 @default.
- W4312449362 hasRelatedWork W2097458023 @default.
- W4312449362 hasRelatedWork W2416643262 @default.
- W4312449362 hasRelatedWork W2547284267 @default.
- W4312449362 hasRelatedWork W2908606926 @default.
- W4312449362 hasRelatedWork W2990472155 @default.
- W4312449362 hasRelatedWork W2181817726 @default.
- W4312449362 isParatext "false" @default.
- W4312449362 isRetracted "false" @default.
- W4312449362 workType "article" @default.