Non-Uniformly Weighted Multisource Domain Adaptation Network For Fault Diagnosis Under Varying Working Conditions
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DOI: 10.1007/s11063-024-11568-2
Abstract: Most transfer learning-based fault diagnosis methods learn diagnostic information from the source domain to enhance performance in the target domain. However, in practical applications, usually there are multiple available source domains, and relying on diagnostic… read more here.
Keywords: source; domain adaptation; weighted multisource; multisource domain ... See more keywords
Multisource Domain Generalization Two-Branch Network for Hyperspectral Image Cross-Domain Classification
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DOI: 10.1109/lgrs.2024.3356567
Abstract: In practical applications, due to the high cost and difficulty of hyperspectral image (HSI) annotation, labels for the target domain (TD) may be either unavailable or insufficient in quantity. To address this issue, we propose… read more here.
Keywords: branch; hyperspectral image; domain generalization; multisource domain ... See more keywords
Multisource Domain Separation Network for Industrial Intelligent Monitoring in Unseen Conditions.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2025.3618124
Abstract: Industrial time-series prediction is one of the crucial tasks of industrial artificial intelligence, which has been extensively adopted in intelligent monitoring. However, continuous variations in the working conditions of industrial processes lead to continuous changing… read more here.
Keywords: separation network; intelligent monitoring; domain separation; multisource domain ... See more keywords
Multisource Domain Attribute Adaptation Based on Adaptive Multikernel Alignment Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2791603
Abstract: For attribute-based zero-shot learning (ZSL), the attribute classifiers learned previously on the training images may not be usable for the testing images due to that the training and testing images may follow different data distributions.… read more here.
Keywords: adaptation based; adaptation; attribute adaptation; multisource domain ... See more keywords