机构

• 地理科学与资源研究... [33]
• 成都山地灾害与环境研... [4]
• 新疆生态与地理研究所 [4]
• 武汉岩土力学研究所 [3]
• 西北高原生物研究所 [1]
• 新疆理化技术研究所 [1]
• 更多

采集方式

• OAI收割 [49]

内容类型

• 期刊论文 [46]
• 学位论文 [2]
• SCI/SSCI论文 [1]

发表日期

• 4602 [1]
• 2026 [7]
• 2025 [21]
• 2024 [12]
• 2023 [2]
• 2017 [1]
• 更多

学科主题

• 生物学::植物学::... [2]
• 地图学与地理信息系统 [1]
• 水土保持与荒漠化防治 [1]

筛选

浏览/检索结果: 共49条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序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 The Transparency Revolution in Geohazard Science: A Systematic Review and Research Roadmap for Explainable Artificial Intelligence 期刊论文  OAI收割 CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 4602, 卷号: N/A 作者:  Tosan, Moein;  Nourani, Vahid;  Kisi, Ozgur;  Zhang, Yongqiang;  Kantoush, Sameh A.   |  收藏  |  浏览/下载：18/0  |  提交时间：2026/01/21 Explainable artificial intelligence (XAI)  geohazard assessment  machine learning  SHAP  trustworthy AI  model interpretability   Underestimation of soil organic carbon by global spatially explicit soil datasets in Chinese urban greenspaces 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2026, 卷号: 557, 页码: 148234 作者:  Zhou, Zidong;  Xu, Yiming;  Hogan, J. Aaron;  Dong, Shikui;  Wang, Yike   |  收藏  |  浏览/下载：3/0  |  提交时间：2026/05/22 Urban carbon sequestration  Urban greenspaces  Urbanization  Meta-analysis  Random forest model  SHAP analysis   A Physically Driven Interpretable Machine Learning Framework for Early Forecasting of Summer Hypoxia in the Semi-Enclosed Bohai Sea Using Remote Sensing Data 期刊论文  OAI收割 REMOTE SENSING, 2026, 卷号: 18, 期号: 7, 页码: 27 作者:  Jin, Yong;  Guo, Jie;  Liu, Shanwei;  Li, Tao;  Yue, Hansen   |  收藏  |  浏览/下载：4/0  |  提交时间：2026/05/11 hypoxia prediction  remote sensing data  Bohai Sea  machine learning  SHAP   A Physically Driven Interpretable Machine Learning Framework for Early Forecasting of Summer Hypoxia in the Semi-Enclosed Bohai Sea Using Remote Sensing Data 期刊论文  OAI收割 REMOTE SENSING, 2026, 卷号: 18, 期号: 7, 页码: 27 作者:  Jin, Yong;  Guo, Jie;  Liu, Shanwei;  Li, Tao;  Yue, Hansen   |  收藏  |  浏览/下载：4/0  |  提交时间：2026/06/02 hypoxia prediction  remote sensing data  Bohai Sea  machine learning  SHAP   10-M MAPPING AND ANALYSIS OF MAJOR CROP PLANTING PATTERNS IN HENAN PROVINCE IN CHINA 期刊论文  OAI收割 BANGLADESH JOURNAL OF BOTANY, 2026, 卷号: 55, 期号: 1, 页码: 191-199 作者:  Fang, Ying;  Liu, Hang;  Liu, Yuzhu;  Cheng, Rui;  Zou, Jinqiu   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/05/22 XGBoost Algorithm  Crop planting systems  Remote sensing  Henan Province  Food security  SHAP   Nature or society: Understanding the evolution and mechanisms of livestock industry agglomeration in China 期刊论文  OAI收割 JOURNAL OF GEOGRAPHICAL SCIENCES, 2026, 卷号: 36, 期号: 2, 页码: 283-300 作者:  Wu, Feng;  She, Dejin;  Dong, Mei;  Zhang, Mengfei;  Guo, Naliang   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/03/16 livestock industry  agro-pastoral transitional zone  spatio-temporal evolution  driving mechanisms  Lasso-XGBoost-SHAP   Multi-Source Data Fusion and Heuristic-Optimized Machine Learning for Large-Scale River Water Quality Parameters Monitoring 期刊论文  OAI收割 REMOTE SENSING, 2026, 卷号: 18, 期号: 2, 页码: 320 作者:  Fang, Kehang;  Wu, Feng;  Gao, Xing;  Li, Zhihui   |  收藏  |  浏览/下载：7/0  |  提交时间：2026/03/16 multi-source data fusion  water quality inversion  machine learning optimization  whale optimization algorithm  SHAP interpretability   Landslide susceptibility on the Qinghai-Tibet Plateau: Key driving factors identified through machine learning 期刊论文  OAI收割 JOURNAL OF GEOGRAPHICAL SCIENCES, 2026, 卷号: 36, 期号: 1, 页码: 199-218 作者:  Yang, Wanqing;  Ge, Quansheng;  Tao, Zexing;  Xu, Duanyang;  Wang, Yuan   |  收藏  |  浏览/下载：4/0  |  提交时间：2026/03/16 landslide susceptibility  machine learning  SHAP  driving factors  nonlinear effects   Environmental variables controlling soil thickness across elevation zones in the eastern Himalayas 期刊论文  OAI收割 CATENA, 2025, 卷号: 261, 页码: 14 作者:  Zhang, Xin;  Fan, Jianrong;  Chen, Hongjin   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/11/21 Right-censored data  Digital soil mapping  SHAP values  Sentinel-2  Complex terrain  Himalayas   Forecasting Daily Ambient PM2.5 Concentrations in Qingdao City Using Deep Learning and Hybrid Interpretable Models and Analysis of Driving Factors Using SHAP 期刊论文  OAI收割 TOXICS, 2025, 卷号: 14, 期号: 1, 页码: 44 作者:  He, Zhenfang;  Guo, Qingchun;  Zhang, Zuhan;  Feng, Genyue;  Qiao, Shuaisen   |  收藏  |  浏览/下载：4/0  |  提交时间：2026/03/16 deep learning  ANN  RNN  CNN  transformer  BiLSTM  SHAP  PM2.5