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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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自动化研究所 [130]
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期刊论文 [379]
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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:16/0
  |  
提交时间:2026/01/21
Explainable artificial intelligence (XAI)
geohazard assessment
machine learning
SHAP
trustworthy AI
model interpretability
Adaptive model selection and ensemble via spatiotemporal graph-guided expert routing
期刊论文
OAI收割
INFORMATION PROCESSING & MANAGEMENT, 2026, 卷号: 63, 期号: 7, 页码: 104814
作者:
Wang, Lizeng
;
Cheng, Shifen
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/05/22
Ensemble learning
Spatiotemporal inference
Model selection
Spatiotemporal correlation
Spatiotemporal heterogeneity
Mixture of experts
Spatial Prediction of Landslide Susceptibility Using a Deep Learning and Partition Membership Hybrid Model
期刊论文
OAI收割
TRANSACTIONS IN GIS, 2026, 卷号: 30, 期号: 2, 页码: e70255
作者:
Lin, Qigen
;
Hong, Haoyuan
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2026/05/22
Deep learning
Hybrid model
Landslide susceptibility
Unbalanced data
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:10/0
  |  
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
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:2/0
  |  
提交时间:2026/04/16
snow water equivalent
land surface model
bias corrections
machine learning
hybrid model
physics guided
The influence of estimation window configuration on machine learning-based soybean yield estimation across black soil regions
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2026, 卷号: 378, 页码: 110957
作者:
Huang, Shuyuan
;
Liu, Yujie
;
Chen, Jiahao
;
Zhang, Ermei
;
Pan, Tao
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2026/02/09
Machine learning
Phenological model
Soybean yield estimation
Sowing date
Growing season length
UniStain: A unified and organ-aware virtual H&E staining framework for label-free autofluorescence images
期刊论文
OAI收割
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2026, 卷号: 173, 页码: 10
作者:
Shi, Lulin
;
Hou, Xingzhong
;
Lai, James K. W.
;
Wong, Ivy H. M.
;
Huang, Bingxin
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2026/05/25
Deep learning
Parameter-efficient fine-tuning
Pre-trained diffusion model
Virtual staining
Interval Prediction of Total Nitrogen Using a Hybrid BiLSTM-Res Model and Bayesian Optimization: A Case Study in the Pearl River Delta
期刊论文
OAI收割
WATER, 2026, 卷号: 18, 期号: 5, 页码: 578
作者:
Zhang, Hanzhi
;
Niu, Guoqiang
;
Li, Xiaoyong
;
Lin, Mi
;
Fan, Kai
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2026/04/16
total nitrogen
interval prediction
deep learning
BILSTM model
The stacking method enhances machine learning models for monitoring and understanding regional soil available nitrogen variations in croplands
期刊论文
OAI收割
SOIL & TILLAGE RESEARCH, 2026, 卷号: 256, 页码: 106880
作者:
Lei, Sihong
;
Shao, Mingan
;
Jia, Xiaoxu
;
Zhu, Zhaocen
;
Zhao, Chunlei
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2025/10/20
Agricultural ecosystem
Machine learning
Model ensemble
Quantitative prediction
Comparison of GLMM, RF and XGBoost Methods for Estimating Daily Relative Humidity in China Based on Remote Sensing Data
期刊论文
OAI收割
REMOTE SENSING, 2026, 卷号: 18, 期号: 2, 页码: 306
作者:
Yao, Ying
;
Wu, Ling
;
Liu, Hongbo
;
Zhu, Wenbin
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2026/03/16
relative humidity
machine learning
climate zone
generalized linear mixed model (GLMM)
remote sensing data