兰州大学机构库

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MLLBC: A Machine Learning Toolbox for Modeling the Loss Rate of the Lining Bearing Capacity 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 50256-50267
Authors:  Zhang, Sen;  Wu, Wanyin;  Yang, Zhao;  Lin, Xu;  Ren, Zhihua;  Yan, ZX(言志信)
Adobe PDF(7651Kb)  |  Favorite  |    Submit date:2020/08/04
Machine learning  Data models  Tools  Load modeling  Analytical models  Finite element analysis  Neural networks  Toolbox  the loss rate of the lining bearing capacity  machine learning  tunnel health  
Spin-dependent electron transport along hairpinlike DNA molecules 期刊论文
PHYSICAL REVIEW B, 2020, 卷号: 102, 期号: 19
Authors:  Hu, Pei-Jia;  Wang, Si-Xian;  Gao, Xiao-Hui;  Zhang, Yan-Yang;  Fang, Tie-Feng;  Guo, Ai-Min;  Sun, Qing-Feng
Adobe PDF(561Kb)  |  Favorite  |    Submit date:2020/12/18
Deep Autoencoder for Mass Spectrometry Feature Learning and Cancer Detection 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 45156-45166
Authors:  Zhou, QG(周庆国);  Yong, BB(雍宾宾);  Lv, Qingquan;  Shen, Jun;  Wang, Xin
Adobe PDF(8831Kb)  |  Favorite  |    Submit date:2020/08/20
Cancer  Mass spectroscopy  Cancer detection  Feature extraction  Tumors  Proteomics  Machine learning  Early cancer diagnosis  deep autoencoder  particle swarm optimization  mass spectrometry feature learning  
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition 期刊论文
Information Sciences, 2021, 卷号: 569, 页码: 90-109
Authors:  Rao, Haocong;  Xu, Shihao;  Hu, XP(胡希平);  Cheng, Jun;  Hu, B(胡斌)
Adobe PDF(1305Kb)  |  Favorite  |    Submit date:2021/06/18
3D skeleton  Action learning  Action recognition  Action representations  Contrastive learning  Learn+  Momentum LSTM  Skeleton based action recognition  Skeleton data augmentation  Unsupervised deep learning  3D skeleton  Action learning  Action recognition  Action representations  Contrastive learning  Learn+  Momentum LSTM  Skeleton based action recognition  Skeleton data augmentation  Unsupervised deep learning  
A survey of space radiation damage to DAMPE-PSD 期刊论文
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2020, 卷号: 971
Authors:  Zhang, Yongjie;  Sun, Zhiyu;  Yu, Yuhong;  Guo, Jianhua;  Fang, Fang;  Zhou, Yong;  Wang, Zhaoming;  Zhang, Yapeng;  Hu, BT(胡碧涛)
Adobe PDF(2058Kb)  |  Favorite  |    Submit date:2020/07/07
DAMPE  PSD  PMT  Working lifetime  SAA region  
A Real-Time and Adaptive-Learning Malware Detection Method Based on API-Pair Graph 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 208120-208135
Authors:  S. Yang;  S. Li;  W. Chen;  Y. Liu
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Malware detection  adaptive learning  real-time detection  API-pair graph  deep learning  
Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 69979-69996
Authors:  Feng, Fang;  Li, Kuan-Ching;  Shen, Jun;  Zhou, QG(周庆国);  Yang, Xuhui
Adobe PDF(2508Kb)  |  Favorite  |    Submit date:2020/07/21
Feature extraction  Support vector machines  Linear programming  Credit cards  Prediction algorithms  Indexes  Licenses  
Metal-Organic Framework-Derived p-Cu2O/n-Ce-Fe2O3 Heterojunction Nanorod Photoanode Coupling with a FeOOH Cocatalyst for High-Performance Photoelectrochemical Water Oxidation 期刊论文
ACS Applied Materials & Interfaces, 2020, 卷号: 12, 期号: 27, 页码: 30304-30312
Authors:  Wu, Juan;  Huang, Pan;  Fan, Huitao;  Wang, Gang;  Liu, WS(刘伟生)
Adobe PDF(5841Kb)  |  Favorite  |    Submit date:2020/12/16
hematite  photoelectrochemical water splitting  Ce-doping  HKUST-1(MOF)-derived Cu2O nanoparticles  p-n heterojunction  
Esophagus Segmentation in Computed Tomography Images Using a U-Net Neural Network With a Semiautomatic Labeling Method 期刊论文
IEEE Access, 2020, 卷号: 8, 期号: *, 页码: 202459-202468
Authors:  Lou, Xiao;  Zhu, Youzhe;  Punithakumar, Kumaradevan;  Le, Lawrence H.;  Li, Baosheng
Adobe PDF(11465Kb)  |  Favorite  |    Submit date:2020/12/18
Computed Tomography  Deep Learning  Esophagus  Segmentation  U-net  Automation  Computerized tomography  Deep learning  Image segmentation  Learning systems  Three dimensional computer graphicsComputed tomography images  Convex-hull approach  Experimental evaluation  Level set algorithm  Segmentation methods  Segmentation results  Semiautomatic methods  Topological levels