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浏览/检索结果: 共1354条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序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 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：0/0  |  提交时间：2026/01/21 Explainable artificial intelligence (XAI)  geohazard assessment  machine learning  SHAP  trustworthy AI  model interpretability   Climate-LUCC synergy drives soil respiration dynamics in China: a biome-specific machine learning approach 期刊论文  OAI收割 JOURNAL OF PLANT ECOLOGY, 4599, 卷号: 18, 期号: 6, 页码: rtaf153 作者:  Ming, Ru;  Zhou, Yan;  Cui, Yaoping;  Huang, Ni;  Wang, Junbang   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/01/21 climate trends  carbon cycle  machine learning  LUCC  ecological restoration   Linking hypolimnion to epilimnion in a stratified arctic lake: Machine learning-based estimation of hypolimnetic water quality from epilimnetic measurements 期刊论文  OAI收割 WATER RESEARCH, 2026, 卷号: 294, 页码: 125367 作者:  Mahdian, Mehran;  Noori, Roohollah;  Saravani, Mohammad Javad;  Shahvaran, Ali Reza;  Shahmohammad, Mohsen   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Deep-water quality  Hypolimnion  Machine learning  Deep learning  Lake Inari  Arctic lakes   Unraveling the drivers and synergistic mechanisms of selenium distribution in cultivated soils across China: A quantitative analysis using explainable machine learning 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2026, 卷号: 507, 页码: 141790 作者:  Wang, Jing;  Zhong, Chuanliang;  Shang, Cailing;  Wei, Binggan;  Wu, Ye   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Selenium  Cultivated soil  Spatial distribution  Environmental drivers  Explainable machine learning   Predicting distribution characteristics of PM2.5 concentrations across China combining land use regression model and spatiotemporally weighted stacking machine learning algorithms 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2026, 卷号: 14, 期号: 2, 页码: 121780 作者:  Wang, Wentao;  Zhang, Ping;  Han, Yuanyuan;  Zhang, Fengqian;  Huang, Yue   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 PM 2.5 pollution  Land use regression model  Machine learning ensemble method  Space-time weighting information  Spatiotemporal modelling   Prioritizing climate action maximizes synergies among global environmental SDGs: A causal network analysis 期刊论文  OAI收割 APPLIED GEOGRAPHY, 2026, 卷号: 189, 页码: 103938 作者:  Huan, Yizhong;  Wu, Fei;  Li, Xiaoyun;  Wang, Jing;  Su, Yiming   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Sustainable development  Environmental governance  Causal interaction  Network analysis  Machine learning  Resilience   Observation-Constrained Physical Snow Water Equivalent Simulations Using a Physics-Guided Machine Learning Approach 期刊论文  OAI收割 WATER RESOURCES RESEARCH, 2026, 卷号: 62, 期号: 3, 页码: e2025WR041406 作者:  Zhao, Wenli;  Fang, Jianing;  Yang, Tao;  Lian, Xu;  Winkler, Alexander J.   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 snow water equivalent  land surface model  bias corrections  machine learning  hybrid model  physics guided   Study on crop coefficient of vegetation in cold and high-altitude regions based on lysimeter measurements 期刊论文  OAI收割 IRRIGATION SCIENCE, 2026, 卷号: 44, 期号: 3, 页码: 64 作者:  Qu, Liuyan;  Li, Runjie;  Jia, Shaofeng;  Gao, Zhanyi;  Chen, Haorui   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Crop coefficient  Lysimeter  Evapotranspiration  Machine Learning  Sanjiangyuan   Enhancing Landslide Susceptibility and Dynamic Exposure Assessment Using Interpretable Machine Learning: A Case Study of the Qinba Mountain Area, China 期刊论文  OAI收割 TRANSACTIONS IN GIS, 2026, 卷号: 30, 期号: 2, 页码: e70228 作者:  Shi, Yi;  Lin, Qigen;  Hong, Haoyuan   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Dynamic exposure analysis  Interpretable machine learning  Landslide risk mapping  Landslide Susceptibility mapping   Global uncertainty of various downward shortwave solar radiation products 期刊论文  OAI收割 ENERGY, 2026, 卷号: 346, 页码: 140282 作者:  Xu, Wenchao;  Li, Runkui;  Guo, Tongze;  Wang, Tianyi;  Dong, Xinran   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Solar radiation  Uncertainty  Spatial pattern  Explainable machine learning