Search Results - "Yan, Xuguo"

A semi-supervised convolutional neural network-based method for steel surface defect recognition by Gao, Yiping, Gao, Liang, Li, Xinyu, Yan, Xuguo

“…•Labeling large-scale data for steel surface defect recognition is costly and hard.•A semi-supervised learning method is proposed with limited labeled…”
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Degradation Modeling and RUL Prediction of Hot Rolling Work Rolls Based on Improved Wiener Process by Yan, Xuguo, Zhou, Shiyang, Zhang, Huan, Yi, Cancan

“…Hot rolling work rolls are essential components in the hot rolling process. However, they are subjected to high temperatures, alternating stress, and wear…”
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A Cotraining-Based Semisupervised Approach for Remaining-Useful-Life Prediction of Bearings by Yan, Xuguo, Xia, Xuhui, Wang, Lei, Zhang, Zelin

“…The failure of bearings can have a significant negative impact on the safe operation of equipment. Recently, deep learning has become one of the focuses of RUL…”
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A Progressive Deep Neural Network Training Method for Image Classification with Noisy Labels by Yan, Xuguo, Xia, Xuhui, Wang, Lei, Zhang, Zelin

“…Deep neural networks (DNNs) require large amounts of labeled data for model training. However, label noise is a common problem in datasets due to the…”
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A feature extraction and classification algorithm based on improved sparse auto-encoder for round steel surface defects by Yan, Xuguo, Gao, Liang

“…Traditional feature dimensionality reduction (FDR) algorithms can extract features by reducing feature dimensions. However, it may lose some useful information…”
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Cloning and characterization of a 2-cys peroxiredoxin in the pine wood nematode, Bursaphelenchus xylophilus, a putative genetic factor facilitating the infestation by Li, Zhen, Liu, Xiaoxia, Chu, Yanna, Wang, Yan, Zhang, Qingwen, Zhou, Xuguo

“…The pine wood nematode, Bursaphelenchus xylophilus, is an invasive plant parasitic nematode and a worldwide quarantine pest. An indigenous species in North…”
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