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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Li, Weihua ; Huang, Ruyi ; Li, Jipu ; Liao, Yixiao ; Chen, Zhuyun ; He, Guolin ; Yan, Ruqiang ; Gryllias, Konstantinos

Mechanical systems and signal processing, 2022-03, Vol.167, p.108487, Article 108487 [Periódico revisado por pares]

Berlin: Elsevier Ltd

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A Decade Survey of Transfer Learning (2010-2020)
A Decade Survey of Transfer Learning (2010-2020)
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A Decade Survey of Transfer Learning (2010-2020)

Niu, Shuteng ; Liu, Yongxin ; Wang, Jian ; Song, Houbing

IEEE transactions on artificial intelligence, 2020-10, Vol.1 (2), p.151-166 [Periódico revisado por pares]

IEEE

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Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning
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Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

Xia, Min ; Shao, Haidong ; Williams, Darren ; Lu, Siliang ; Shu, Lei ; de Silva, Clarence W.

Reliability engineering & system safety, 2021-11, Vol.215, p.107938, Article 107938 [Periódico revisado por pares]

Barking: Elsevier Ltd

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Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
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Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings

Coraci, Davide ; Brandi, Silvio ; Hong, Tianzhen ; Capozzoli, Alfonso

Applied energy, 2023-03, Vol.333, p.120598, Article 120598 [Periódico revisado por pares]

United States: Elsevier Ltd

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Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
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Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016

Chen, Xiaohan ; Yang, Rui ; Xue, Yihao ; Huang, Mengjie ; Ferrero, Roberto ; Wang, Zidong

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1 [Periódico revisado por pares]

New York: IEEE

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Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification
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Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification

Deng, Cheng ; Xue, Yumeng ; Liu, Xianglong ; Li, Chao ; Tao, Dacheng

IEEE transactions on geoscience and remote sensing, 2019-03, Vol.57 (3), p.1741-1754 [Periódico revisado por pares]

New York: IEEE

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7
Deep convolutional neural networks for mammography: advances, challenges and applications
Deep convolutional neural networks for mammography: advances, challenges and applications
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Deep convolutional neural networks for mammography: advances, challenges and applications

Abdelhafiz, Dina ; Yang, Clifford ; Ammar, Reda ; Nabavi, Sheida

BMC bioinformatics, 2019-06, Vol.20 (Suppl 11), p.281-20, Article 281 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
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Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

Zhao, Zhibin ; Zhang, Qiyang ; Yu, Xiaolei ; Sun, Chuang ; Wang, Shibin ; Yan, Ruqiang ; Chen, Xuefeng

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-28 [Periódico revisado por pares]

New York: IEEE

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Multi-scale deep intra-class transfer learning for bearing fault diagnosis
Multi-scale deep intra-class transfer learning for bearing fault diagnosis
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Multi-scale deep intra-class transfer learning for bearing fault diagnosis

Wang, Xu ; Shen, Changqing ; Xia, Min ; Wang, Dong ; Zhu, Jun ; Zhu, Zhongkui

Reliability engineering & system safety, 2020-10, Vol.202, p.107050, Article 107050 [Periódico revisado por pares]

Barking: Elsevier Ltd

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10
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
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Cross-subject transfer learning in human activity recognition systems using generative adversarial networks

Soleimani, Elnaz ; Nazerfard, Ehsan

Neurocomputing (Amsterdam), 2021-02, Vol.426, p.26-34 [Periódico revisado por pares]

Elsevier B.V

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