中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [5]
计算技术研究所 [3]
海洋研究所 [3]
地理科学与资源研究所 [2]
金属研究所 [1]
成都山地灾害与环境研... [1]
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采集方式
OAI收割 [19]
内容类型
期刊论文 [19]
发表日期
2025 [3]
2024 [10]
2023 [5]
2021 [1]
学科主题
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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:3/0
  |  
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:8/0
  |  
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
Decomposing spatio-temporal heterogeneity: Matrix-informed ensemble learning for interpretable prediction
期刊论文
OAI收割
KNOWLEDGE-BASED SYSTEMS, 2025, 卷号: 309, 页码: 112906
作者:
Wang, Lizeng
;
Cheng, Shifen
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2025/02/24
Spatio-temporal prediction
Ensemble learning
Spatio-temporal heterogeneity
Matrix decomposition
Explainable artificial intelligence
Evaluation of tumor budding with virtual panCK stains generated by novel multi-model CNN framework
期刊论文
OAI收割
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 卷号: 257, 页码: 18
作者:
Hou, Xingzhong
;
Guan, Zhen
;
Zhang, Xianwei
;
Hu, Xiao
;
Zou, Shuangmei
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/12/06
Virtual Stain
Stain-to-stain transformation
Multi-model framework
Explainable AI
Tumor budding
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:34/0
  |  
提交时间:2024/12/04
wildfire
driving factor
machine learning
random forest
extreme gradient boosting
explainable artificial intelligence
prediction accuracy
On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values
期刊论文
OAI收割
GEOSCIENCE FRONTIERS, 2024, 卷号: 15, 期号: 4, 页码: 101800
作者:
Wang, Nan
;
Zhang, Hongyan
;
Dahal, Ashok
;
Cheng, Weiming
;
Zhao, Min
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2024/04/08
Hydro-morphological processes
SHAP maps
Explainable AI
China
ENSO-Related Precursor Pathways of Interannual Thermal Anomalies Identified Using a Transformer-Based Deep Learning Model in the Tropical Pacific
期刊论文
OAI收割
GEOPHYSICAL RESEARCH LETTERS, 2024, 卷号: 51, 期号: 12, 页码: 11
作者:
Zhou, Lu
;
Zhang, Rong-Hua
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/09/02
ENSO predictions
thermal precursors
multivariate three-dimensional (3D) predictions
transformer-based model
explainable artificial intelligence (XAI)
Impacts of central-Pacific El Ni?o and physical drivers on eastern Pacific bigeye tuna
期刊论文
OAI收割
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2024, 页码: 16
作者:
Lian, Peng
;
Gao, Le
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2024/08/29
bigeye tuna
central-Pacific El Ni & ntilde
ocean heat content
Argo
explainable artificial intelligence (XAI)
information flow
o (CPEN)
Triple Dual Learning for Opinion-based Explainable Recommendation
期刊论文
OAI收割
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2024, 卷号: 42, 期号: 3, 页码: 27
作者:
Zhang, Yuting
;
Sun, Ying
;
Zhuang, Fuzhen
;
Zhu, Yongchun
;
An, Zhulin
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/12/06
Explainable recommendation
triple dual learning
opinion-based explanation
Explainable Neural Network for Sensitivity Analysis of Lithium-ion Battery Smart Production
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 9, 页码: 1944-1953
作者:
Kailong Liu
;
Qiao Peng
;
Yuhang Liu
;
Naxin Cui
;
Chenghui Zhang
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/08/09
Battery management
battery manufacturing
data science
explainable artificial intelligence
sensitivity analysis