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  
MODIS Fractional Snow Cover Mapping Using Machine Learning Technology in a Mountainous Area 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 6
Authors:  Liu, Changyu;  Huang, Xiaodong;  Li, Xubing;  Liang, Tiangang
Adobe PDF(2913Kb)  |  Favorite  |    Submit date:2020/06/01
MODIS  fractinal snow cover  UAV  Tibetan Plateau  Antennas  Backpropagation  Complex networks  Decision trees  Landforms  Mapping  Mean square error  Neural networks  Radiometers  Random forests  Snow  Support vector machines  Unmanned aerial vehicles (UAV)Back propagation artificial neural network (BPANN)  Machine learning models  Machine learning technology  Moderate resolution imaging spectroradiometer  RMSE (root mean square error)  Snow covers  
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  
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 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
Adobe PDF(3734Kb)  |  Favorite  |    Submit date:2020/12/18
Malware detection  adaptive learning  real-time detection  API-pair graph  deep learning  
AI-Based Susceptibility Analysis of Shallow Landslides Induced by Heavy Rainfall in Tianshui, China 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 9
Authors:  Qi, Tianjun;  Zhao, Y(赵妍);  Meng, Xingmin;  Chen, Guan;  Dijkstra, Tom
Adobe PDF(8520Kb)  |  Favorite  |    Submit date:2021/06/17
heavy rainfalllandslide inventorymachine learningsusceptibility mapping  Machine learning  Rain  Remote sensing  Geomorphic conditions  Landslide inventories  Landslide susceptibility  Landslide susceptibility assessments  Machine learning models  Normalized differences  Remote sensing images  Susceptibility analysis  
Single-machine scheduling problems with deteriorating jobs and learning effects 期刊论文
COMPUTERS & INDUSTRIAL ENGINEERING, 2009, 卷号: 57, 期号: 3, 页码: 843-846
Authors:  Sun, L;  Sun, L (reprint author), Lanzhou Univ, Dept Math & Stat, Lanzhou 730000, Peoples R China.
Adobe PDF(181Kb)  |  Favorite  |    Submit date:2015/12/16
Scheduling  Single machine  Deteriorating jobs  Learning effect  
Combining forward with recurrent neural networks for hourly air quality prediction in Northwest of China 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 卷号: 27, 期号: 23, 页码: 28931-28948
Authors:  Zhao, ZL(赵志立);  Qin, Jian;  He, Zhaoshuang;  Li, Huan;  Yang, Y(杨裔);  Zhang, RS(张瑞生)
Adobe PDF(1605Kb)  |  Favorite  |    Submit date:2020/06/15
Air quality  Machine learning  Serial data  SSA  Sliding window  Neural network  
Clustering of Cancer Attributed Networks via Integration of Graph Embedding and Matrix Factorization 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 197463-197472
Authors:  Q. Lin;  Y. Lin;  Q. Yu;  X. Ma
Adobe PDF(2542Kb)  |  Favorite  |    Submit date:2020/12/18
Graph clustering  attributed networks  nonnegative matrix factorization  graph embedding