机构

• 地理科学与资源研究... [14]
• 新疆生态与地理研究所 [4]
• 武汉岩土力学研究所 [3]
• 成都山地灾害与环境研... [1]
• 新疆理化技术研究所 [1]

采集方式

• OAI收割 [23]

内容类型

• 期刊论文 [21]
• SCI/SSCI论文 [1]
• 学位论文 [1]

发表日期

• 2025 [4]
• 2024 [11]
• 2023 [2]
• 2017 [1]
• 2013 [3]
• 2010 [1]
• 更多

学科主题

• 生物学::植物学::... [2]
• 水土保持与荒漠化防治 [1]

筛选

浏览/检索结果: 共23条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Spatiotemporal patterns and drivers of public concern about air pollution in China: Leveraging online big data and interpretable machine learning 期刊论文  OAI收割 ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2025, 卷号: 114, 页码: 107897 作者:  Xu, Gang;  Liu, Haimeng;  Jia, Chunwang;  Zhou, Tianyu;  Shang, Jing   |  收藏  |  浏览/下载：20/0  |  提交时间：2025/04/21 Public environmental concern  Air quality  Environmental perception  Machine learning  XGBoost-SHAP  Environmental assessment  Environmental governance   Spatiotemporal variations of private e-bike trips with explainable data-driven technologies 期刊论文  OAI收割 CITIES, 2025, 卷号: 158, 页码: 105712 作者:  Wang, Peixiao;  Zhang, Hengcai;  Zhang, Beibei;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：19/0  |  提交时间：2025/03/18 Private e -bike trips  Trip patterns  Spatiotemporal variations  Driving mechanisms  Spatiotemporal random forest  Improved SHAP   Analysis of the Driving Mechanism of Grassland Degradation in Inner Mongolia Grassland from 2015 to 2020 Using Interpretable Machine Learning Methods 期刊论文  OAI收割 LAND, 2025, 卷号: 14, 期号: 2, 页码: 386 作者:  Zhang, Zuopei;  Hu, Yunfeng;  Batunacun   |  收藏  |  浏览/下载：18/0  |  提交时间：2025/04/21 machine learning  grassland degradation  driving factors  SHAP method  climate change   Insights from Optimized Non-Landslide Sampling and SHAP Explainability for Landslide Susceptibility Prediction 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2025, 卷号: 15, 期号: 3, 页码: 22 作者:  Li, Mengyuan;  Tian, Hongling   |  收藏  |  浏览/下载：16/0  |  提交时间：2025/03/24 landslide susceptibility mapping  landslide susceptibility prediction  machine learning  non-landslide sampling strategy  SHAP   Probabilistic assessment of the thermal performance of low-enthalpy geothermal system under impact of spatially correlated heterogeneity by using XGBoost algorithms 期刊论文  OAI收割 ENERGY, 2024, 卷号: 313, 页码: 18 作者:  Liao, Jianxing;  Xie, Yachen;  Zhao, Pengfei;  Xia, Kaiwen;  Xu, Bin   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/06/27 Thermal performance  Reservoir heterogeneity  XGBoost  SHAP  Probability of failure   Population Density Prediction at Township Scale Supported by Machine Learning Method: A Case Study in Inner Mongolia 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 卷号: 13, 期号: 12, 页码: 426 作者:  Cui, Chenxi;  Hu, Yunfeng;  Bao, Yuhai;  Li, Hao   |  收藏  |  浏览/下载：15/0  |  提交时间：2025/02/24 Inner Mongolia  population density  machine learning  SHAP   Age disparities and socioeconomic factors for commuting distance in Beijing by explainable machine learning 期刊论文  OAI收割 CITIES, 2024, 卷号: 155, 页码: 105493 作者:  Chen, Liangkan;  Chen, Mingxing;  Fan, Chao   |  收藏  |  浏览/下载：15/0  |  提交时间：2025/01/17 Commuting distance  Age disparity  Mobile signaling data  XGBoost  SHAP  Beijing   Identifying payable cluster distributions for improved reservoir characterization: a robust unsupervised ML strategy for rock typing of depositional facies in heterogeneous rocks 期刊论文  OAI收割 GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES, 2024, 卷号: 10, 期号: 1, 页码: 22 作者:  Ashraf, Umar;  Anees, Aqsa;  Zhang, Hucai;  Ali, Muhammad;  Thanh, Hung Vo   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/06/27 Unsupervised ML algorithms  SOM  K-means clustering  Payable clusters distribution  DBSCAN  SHAP   Spatial patterns and mechanism of the impact of soil salinity on potentially toxic elements in coastal areas 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 951, 页码: 175802 作者:  Zhou, Mengge;  Li, Yonghua   |  收藏  |  浏览/下载：26/0  |  提交时间：2024/10/21 Soil salinity  Soil PTEs  CatBoost-SHAP  MGWR  Pb   Spatiotemporal change of PM2.5 concentration in Beijing-Tianjin-Hebei and its prediction based on machine learning 期刊论文  OAI收割 URBAN CLIMATE, 2024, 卷号: 58, 页码: 102167 作者:  Liu, Nanjian;  Hao, Zhixin;  Zhao, Peng   |  收藏  |  浏览/下载：23/0  |  提交时间：2024/11/19 Machine learning  SHAP  Driving factors  Topographical regulation