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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [2]
力学研究所 [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
宁波材料技术与工程研... [1]
沈阳自动化研究所 [1]
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OAI收割 [8]
内容类型
期刊论文 [7]
会议论文 [1]
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2024 [1]
2023 [2]
2022 [1]
2020 [1]
2019 [1]
2013 [1]
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学科主题
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浏览/检索结果:
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A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network
期刊论文
OAI收割
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2024, 卷号: 9, 期号: 6, 页码: 1-18
作者:
Yi, Zhenxiao
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/12/06
Accuracy
Recurrent neural networks
Computational modeling
Time series analysis
Predictive models
Supercapacitors
Feature extraction
Prediction algorithms
Convolutional neural networks
Long short term memory
state of health
re-maining useful life
honey badger algorithm
recurrent dropout
Precise measurement method of carrier motion state in microgravity environment
期刊论文
OAI收割
MEASUREMENT, 2023, 卷号: 222, 页码: 17
作者:
Liu, Mingyue
;
Zhu, Huizhong
;
Xu, Xinchao
;
Ma, Youqing
;
Zhang, Shuo
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/11/28
Multi-camera calibration
Stereo vision
Extraction of homonymous points
Random Sample Consensus (RANSAC)
Carrier motion state
Invariant Extended Kalman Filtering for Tightly Coupled LiDAR-Inertial Odometry and Mapping
期刊论文
OAI收割
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:
Shi, Pengcheng
;
Zhu, Zhikai
;
Sun, Shiying
;
Zhao, Xiaoguang
;
Tan, Min
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2023/03/20
Laser radar
Feature extraction
Simultaneous localization and mapping
Robustness
Point cloud compression
Optimization
Kalman filters
Invariant extended kalman filter (EKF)
light detection and ranging (LiDAR)-inertial odometry
multisensor fusion localization
state estimation
Improving Cross-State and Cross-Subject Visual ERP-Based BCI With Temporal Modeling and Adversarial Training
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 369-379
作者:
Ni, Ziyi
;
Xu, Jiaming
;
Wu, Yuwei
;
Li, Mengfan
;
Xu, Guizhi
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收藏
  |  
浏览/下载:39/0
  |  
提交时间:2022/06/06
Brain modeling
Electroencephalography
Visualization
Training
Task analysis
Feature extraction
Adaptation models
Brain-computer interface
temporal modeling
adversarial training
cross-subject
cross-state
An approach to extract state information from multivariate time series
期刊论文
OAI收割
Journal of Computers (Taiwan), 2020, 卷号: 31, 期号: 6, 页码: 1-11
作者:
Gui J(桂珺)
;
Zheng ZY(郑泽宇)
;
Qin ZB(秦兆伯)
;
Jia, Danping
;
Gao Y(高原)
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/04/24
DBSE
multivariate time series
state extraction
system behavior
Engineering of hole-selective contact for high-performance perovskite solar cell featuring silver back-electrode
期刊论文
OAI收割
JOURNAL OF MATERIALS SCIENCE, 2019, 卷号: 54, 期号: 10, 页码: 7789-7797
作者:
Lin, Liujin
;
Gu, Chenjie
;
Zhu, Juye
;
Ye, Qiufeng
;
Jiang, Ershuai
  |  
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2019/12/18
TRANSITION-METAL OXIDES
EXTRACTION CONTACTS
CARRIER LIFETIME
CHARGE-CARRIERS
EFFICIENT
STATE
IMPACT
ENERGY
LAYERS
FILMS
基于非负矩阵因子分解的光波导分光光谱分析
期刊论文
OAI收割
华中科技大学学报. 自然科学版, 2013, 卷号: 41
作者:
刘平
;
李波
;
余道洋
;
刘锦淮
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/10
feature extraction
non-negative matrix factorization
optical waveguide absorption spectroscopy
time resolution
surface adsorption
aggregation state
特征提取
非负矩阵因子分解
光波导分光光谱
时间分辨
表面吸附
聚合状态
Algorithm research of flexible graphplan based on heuristic (EI CONFERENCE)
会议论文
OAI收割
9th International Conference for Young Computer Scientists, ICYCS 2008, November 18, 2008 - November 21, 2008, Zhang Jia Jie, Hunan, China
作者:
Xu S.
;
Wang X.
;
Wang X.
;
Wang X.
;
Sun Y.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2013/03/25
Classic Graphplan has too much restriction on capturing the full subtlety of many real problems. Flexible Graphplan is defined which supports the soft constraints often found in reality. Heuristic concept is introduced to the process of plan extraction in flexible graphplan in order to improve the efficiency of plan extraction and the quality of plan. A novel algorithm using the new heuristic function which is applied by improved sum mutex heuristic to deal with planning problems is proposed. Sum mutex heuristic which is in common use as heuristic function takes into account only static propositional mutexes
and ignores the mutexes of actions. The performance of the new algorithm on many benchmark problems is remarkably robust. It can solve many planning problems
which can't be solved by the heuristic state space search planning system using sum mutex heuristic. 2008 IEEE.