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Signal-Based Intelligent Hydraulic Fault Diagnosis Methods: Review and Prospects
Article
Article
Juying Dai et al · KeAi Communications Co., Ltd · 2019 · ISSN 1000-9345
Abstract Hydraulic systems have the characteristics of strong fault concealment, powerful nonlinear time-varying signals, and a complex vibration transmission mechanism; hence, diagnosis of these systems is a challenge. ...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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Open Access
Federated Machine Learning
Article
Article
Qiang Yang; Yang Liu; Tianjian Chen; Yongxin Tong · ACM Transactions on Intelligent Systems and Technology · 2019
Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a ...
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A survey on Image Data Augmentation for Deep Learning
Article
Article
Connor Shorten; Taghi M. Khoshgoftaar · Journal Of Big Data · 2019
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...
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A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
Article
Article
Yong Yu; Xiaosheng Si; Changhua Hu; Jianxun Zhang · Neural Computation · 2019
Recurrent neural networks (RNNs) have been widely adopted in research areas concerned with sequential data, such as text, audio, and video. However, RNNs consisting of sigma cells or tanh cells are unable to learn the re...
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