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Refinado por: assunto: Engineering remover
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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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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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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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4
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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5
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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6
Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing
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Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

Sun, Chuang ; Ma, Meng ; Zhao, Zhibin ; Tian, Shaohua ; Yan, Ruqiang ; Chen, Xuefeng

IEEE transactions on industrial informatics, 2019-04, Vol.15 (4), p.2416-2425

Piscataway: IEEE

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7
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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8
Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing
Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing
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Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing

Xu, Kejie ; Huang, Hong ; Deng, Peifang ; Li, Yuan

IEEE transaction on neural networks and learning systems, 2022-10, Vol.33 (10), p.5751-5765

United States: IEEE

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9
Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults
Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults
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Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults

Yang, Bin ; Xu, Songci ; Lei, Yaguo ; Lee, Chi-Guhn ; Stewart, Edward ; Roberts, Clive

Mechanical systems and signal processing, 2022-01, Vol.162, p.108095, Article 108095 [Periódico revisado por pares]

Berlin: Elsevier Ltd

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10
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
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A Comprehensive Survey on Transfer Learning

Zhuang, Fuzhen ; Qi, Zhiyuan ; Duan, Keyu ; Xi, Dongbo ; Zhu, Yongchun ; Zhu, Hengshu ; Xiong, Hui ; He, Qing

Proceedings of the IEEE, 2021-01, Vol.109 (1), p.43-76 [Periódico revisado por pares]

New York: IEEE

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