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Chapter and Conference Paper
Adversarial Adaptation Based on Bidirectional Temporal Convolutional Network for RUL Prediction
Remaining useful life (RUL) prediction is one of the key techniques in prognostics and health management (PHM). Deep learning-based prognostics methods, which can automatically mine useful degradation informat...
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Chapter and Conference Paper
Smart Mobile Router Wireless Heterogeneous Network Access Mechanism
Under the current international security situation, national communication information security is facing a severe test. At the same time, our traffic network is develo** rapidly, and it is also an urgent pr...
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Chapter and Conference Paper
Biomedical Named Entity Recognition Under Low-Resource Situation
Biomedical named entity recognition is Key technology for automatic processing of health medical information. However, it is labor-expensive for get enough labeled data and always facing low-resource situation...
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Chapter and Conference Paper
Rolling Bearing Fault Diagnosis Based on Improved GRU
Existing fault diagnosis methods based on signal processing rely on manual feature extraction, the deep learning method can not learn the time domain and frequency domain characteristics of vibration signal at...
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Chapter and Conference Paper
Diversity-Based Trajectory and Goal Selection with Hindsight Experience Replay
Hindsight experience replay (HER) is a goal relabelling technique typically used with off-policy deep reinforcement learning algorithms to solve goal-oriented tasks; it is well suited to robotic manipulation t...
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Chapter and Conference Paper
Fully CapsNet for Semantic Segmentation
Fully convolutional networks (FCNs) are powerful models for semantic segmentation. But convolutional networks fail to perform well in recognizing and parsing images with spatial variation. In this paper, a nov...