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  
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  
Use of extreme gradient boosting, light gradient boosting machine, and deep neural networks to evaluate the activity stage of extraocular muscles in thyroid-associated ophthalmopathy 期刊论文
GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY, 2023
Authors:  Li, Yunfei;  Ma, Jingyu;  Xiao, Jun;  Wang, Yujiao;  He, Weimin
Favorite  |    Submit date:2023/11/28
Thyroid-associated ophthalmopathy  Disease activity  Machine learning  Extreme gradient boosting  Light gradient boosting machine  Deep neural networks  
基于机器学习的前列腺癌骨转移预测模型的 建立及验证 学位论文
医学硕士, 兰州: 兰州大学, 2023
Authors:  靳通通
Favorite  |    Submit date:2023/11/15
机器学习  machine learning  前列腺癌  prostate cancer  骨转移  bone metastasis  SEER 数据库  SEER database  炎症指标  inflammatory indicators  营养指标  nutritional indicators  
基于机器学习的渔船轨迹数据挖掘与行为识别模型 学位论文
应用统计硕士, 兰州: 兰州大学, 2020
Authors:  储倩
Favorite  |    Submit date:2021/12/06
数据挖掘  Word2Vec  行为识别  XGBoost  LightGBM  
Global quantitative synthesis of effects of biotic and abiotic factors on stemflow production in woody ecosystems 期刊论文
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2021, 卷号: 30, 期号: 8, 页码: 1713-1723
Authors:  Zhang, Yafeng;  Wang, Xinping;  Pan, Yanxia;  Hu, Rui;  Chen, Ning;  Sandel, Brody
Adobe PDF(928Kb)  |  Favorite  |    Submit date:2021/06/17
boosted regression treesclimate variablesglobal synthesisstand characteristicsstemflowwoody ecosystems  
机器学习分类算法对航班延误数据的实证分析 学位论文
应用统计硕士, 兰州: 兰州大学, 2023
Authors:  陈云辉
Favorite  |    Submit date:2023/11/15
航班延误预测  Flight Delay Prediction  逻辑回归  Logistic Regression  决策树  Decision Tree  随机森林  Random Forest  XGBoost  XGBoost  LightGBM  LightGBM  准确率  Precision  AUC  AUC  
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  
黄河源区土壤有机碳影响因子作用机制及模拟模型研究 学位论文
管理学硕士, 兰州: 兰州大学, 2021
Authors:  马海丽
Favorite  |    Submit date:2021/12/06
土壤有机碳  模型构建  数字土壤制图  黄河源区  
The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 13
Authors:  Zhang, Wenli;  Zhang, Wei;  Liu, YB(刘玉冰);  Zhang, Jutao;  Yang, Linshan;  Wang, ZR(王增如);  Mao, Zhongchao;  Qi, Shi;  Zhang, Chengqi;  Yin, Zhenliang...Zhang, Wenli;  Zhang, Wei;  Liu, YB(刘玉冰);  Zhang, Jutao;  Yang, Linshan;  Wang, ZR(王增如);  Mao, Zhongchao;  Qi, Shi;  Zhang, Chengqi;  Yin, Zhenliang
Favorite  |    Submit date:2022/11/08
Adaptive boosting  Organic carbon  Remote sensing  Sensitivity analysis  Soil surveys  Soils  Watersheds  Arid inland region  Effect on soils  Extreme gradient boosting model  Gradient boosting  Machine-learning  Soil organic carbon  Soil organic Carbon stocks  Soil salinity  Soil salinization  Spatiotemporal patterns  soil salinity  soil organic carbon  machine learning  extreme gradient boosting models  arid inland regions