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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [5]
成都山地灾害与环境研... [2]
海洋研究所 [2]
金属研究所 [1]
地质与地球物理研究所 [1]
武汉岩土力学研究所 [1]
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采集方式
OAI收割 [12]
内容类型
期刊论文 [12]
发表日期
4602 [1]
2026 [5]
2025 [3]
2024 [1]
2023 [2]
学科主题
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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
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:6/0
  |  
提交时间:2026/04/16
Selenium
Cultivated soil
Spatial distribution
Environmental drivers
Explainable machine learning
Lithology dependent pathways of forming rock mass weakness plane shape regional landslide susceptibility
期刊论文
OAI收割
ENGINEERING GEOLOGY, 2026, 卷号: 363, 页码: 16
作者:
Zhang, Yifan
;
Jiang, Zhenni
;
Wu, Chunhao
;
Cui, Peng
;
Kong, Weilin
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2026/03/12
Rock mass
Weakness plane
Explainable machine learning
Landslide susceptibility
Southeastern Tibet
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:5/0
  |  
提交时间:2026/03/16
Solar radiation
Uncertainty
Spatial pattern
Explainable machine learning
Lithology dependent pathways of forming rock mass weakness plane shape regional landslide susceptibility
期刊论文
OAI收割
ENGINEERING GEOLOGY, 2026, 卷号: 363, 页码: 108586
作者:
Zhang, Yifan
;
Jiang, Zhenni
;
Wu, Chunhao
;
Cui, Peng
;
Kong, Weilin
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2026/03/16
Rock mass
Weakness plane
Explainable machine learning
Landslide susceptibility
Southeastern Tibet
Achieving High Hardness and Uniformity in Fe-Based Amorphous Coatings for Enhanced Wear Resistance via Explainable Machine Learning
期刊论文
OAI收割
COATINGS, 2026, 卷号: 16, 期号: 2, 页码: 25
作者:
Zhang, Enhao
;
Ma, Cong
;
Yuan, Jiachi
;
Yan, Shuang
;
Zhang, Zhibin
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2026/06/02
amorphous alloy coating
thermal spraying
explainable machine learning
data augmentation
hardness uniformity
Exploring China's venture capital investment dynamics and influencing factors: a perspective of intercity flow
期刊论文
OAI收割
HABITAT INTERNATIONAL, 2025, 卷号: 164, 页码: 103528
作者:
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2025/09/22
Venture capital
City centrality
Spatial structure
Machine learning
Explainable artificial intelligence
Optimizing Cu2+adsorption prediction in Undaria pinnatifida using machine learning and isotherm models
期刊论文
OAI收割
JOURNAL OF HAZARDOUS MATERIALS, 2025, 卷号: 492, 页码: 13
作者:
Chen, Haoran
;
Zhang, Rui
;
Qu, Xiaohan
;
Shan, Tifeng
;
Wang, Yuhe
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2025/07/11
Heavy metal removal
Machine learning
Traditional adsorption models
Bioactive materials
Explainable analysis
Knowledge-Based Machine learning for Real-Time rock strength testing while Drilling: Bridging Simulation and Reality
期刊论文
OAI收割
MEASUREMENT, 2025, 卷号: 246, 页码: 17
作者:
Bai, Jun
;
Wang, Sheng
;
Liu, Liu
;
Xu, Zhengxuan
;
Li, Shaojun
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2025/06/27
Intelligent Real-time
In-situ Rock Strength Testing
Physics-Informed Machine Learning
Explainable AI Methods
Multi-Scenario Adaptability
Application of Remote Sensing and Explainable Artificial Intelligence (XAI) for Wildfire Occurrence Mapping in the Mountainous Region of Southwest China
期刊论文
OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 19, 页码: 27
作者:
Liu, Jia
;
Wang, Yukuan
;
Lu, Yafeng
;
Zhao, Pengguo
;
Wang, Shunjiu
  |  
收藏
  |  
浏览/下载:106/0
  |  
提交时间:2024/12/04
wildfire
driving factor
machine learning
random forest
extreme gradient boosting
explainable artificial intelligence
prediction accuracy