中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [33]
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期刊论文 [119]
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A review of dynamic monitoring methods for intermittent rivers: Integrating remote sensing and machine learning
期刊论文
OAI收割
JOURNAL OF GEOGRAPHICAL SCIENCES, 2026, 卷号: 36, 期号: 3, 页码: 763-796
作者:
Xie, Chaoshuai
;
Lv, Aifeng
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2026/04/16
machine learning
intermittent rivers and ephemeral streams
remote sensing framework
algorithm selection
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:1/0
  |  
提交时间:2026/03/16
multi-source data fusion
water quality inversion
machine learning optimization
whale optimization algorithm
SHAP interpretability
A Q-Learning Crested Porcupine Optimizer for Adaptive UAV Path Planning
期刊论文
OAI收割
MACHINES, 2025, 卷号: 13, 期号: 7, 页码: 566
作者:
Liu, Jiandong
;
He, Yuejun
;
Shen, Bing
;
Wang, Jing
;
Wang, Penggang
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/09/22
UAV path planning
UAV inspection
CPO optimization
Q-learning
algorithm fusion
Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture
期刊论文
OAI收割
ECOLOGICAL INFORMATICS, 2024, 卷号: 84, 页码: 102875
作者:
Zhang, Mo
;
Ge, Yong
;
Wang, Jianghao
  |  
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2024/12/20
Dual-drive method
Genetic algorithm
Machine learning
Soil moisture analytical relationship model
Soil moisture downscaling
Hybrid deep learning-based identification of microseismic events in TBM tunnelling
期刊论文
OAI收割
MEASUREMENT, 2024, 卷号: 238, 页码: 20
作者:
Yin, Xin
;
Liu, Quansheng
;
Lei, Jinshan
;
Pan, Yucong
;
Huang, Xing
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2025/06/27
TBM tunnelling
Microseismic monitoring
Microseismic identification
Deep learning
Multi-algorithm fusion
Deep Reinforcement Learning-Based Joint Low-Carbon Optimization for User-Side Shared Energy Storage-Distribution Networks
期刊论文
OAI收割
PROCESSES, 2024, 卷号: 12, 期号: 9, 页码: 17
作者:
Zhong, Lihua
;
Ye, Tong
;
Yang, Yuyao
;
Pan, Feng
;
Feng, Lei
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/11/20
shared energy storage
ladder-type carbon price
low-carbon optimal scheduling
deep reinforcement learning
deep deterministic policy gradient algorithm
China's bioenergy potential will be stable and decoupling from economy and population at national level: A study based on machine regression prediction model
期刊论文
OAI收割
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2024, 卷号: 69, 页码: 9
作者:
Chen, Yushu
;
Huang, Zetao
;
Ma, Chongjian
;
Wang, Yongyue
;
Chen, Weihua
  |  
收藏
  |  
浏览/下载:0/0
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提交时间:2025/11/20
Biomass
Bioenergy
Carbon neutrality
Machine learning
Optimization algorithm
Bio-Inspired Optimization Algorithm Associated with Reinforcement Learning for Multi-Objective Operating Planning in Radioactive Environment
期刊论文
OAI收割
BIOMIMETICS, 2024, 卷号: 9, 期号: 7, 页码: 17
作者:
Kong, Shihan
;
Wu, Fang
;
Liu, Hao
;
Zhang, Wei
;
Sun, Jinan
  |  
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2024/09/09
reinforcement learning
improved genetic algorithm
radioactive environment planning
bio-inspired optimization algorithm
combinatorial algorithm
Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 7, 页码: 5062-5079
作者:
Wen, Peisong
;
Xu, Qianqian
;
Yang, Zhiyong
;
He, Yuan
;
Huang, Qingming
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2024/12/06
Optimization
Stability analysis
Stochastic processes
Measurement
Standards
Approximation algorithms
Machine learning algorithms
Machine learning
AUPRC
learning to rank
algorithm-dependent generalization
stability
A newly early warning model for anaerobic digestion systems: Based on an improved sparrow search algorithm combined with least square support vector machine
期刊论文
OAI收割
CHEMICAL ENGINEERING JOURNAL, 2024, 卷号: 490, 页码: 9
作者:
  |  
收藏
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浏览/下载:0/0
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提交时间:2025/11/20
Anaerobic digestion
Machine learning
Optimization algorithm
Early warning
Carbon neutrality