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 [17]
地理科学与资源研究所 [5]
计算技术研究所 [5]
数学与系统科学研究院 [4]
沈阳自动化研究所 [4]
科技战略咨询研究院 [3]
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OAI收割 [45]
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期刊论文 [39]
会议论文 [3]
学位论文 [2]
专著章节/文集论文 [1]
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2026 [1]
2025 [1]
2024 [1]
2023 [2]
2022 [2]
2021 [16]
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Unsupervised feature selection via unifying distribution alignment and structure preservation
期刊论文
OAI收割
INFORMATION FUSION, 2026, 卷号: 126, 页码: 20
作者:
Cao, Chunxu
;
Zhang, Yong
;
Ai, Yanke
;
Zhang, Qiang
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/03
Feature selection
Filter feature selection method
Distributional distances
Gromov-Wasserstein distance
Kernel trick
Extreme gradient boosting
A 36 mJ/Inf Convolution Accelerator With Reduced Memory Access and Regrouped Sparse Kernels for Environment Sound Classification on Edge Devices
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2025, 卷号: 72, 期号: 9, 页码: 1258-1262
作者:
Feng, Lichen
;
Wang, Tao
;
Cai, Rundong
;
Min, Feng
;
Zhu, Zhangming
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/03
Accuracy
Convolution
Kernel
Computational modeling
Shape
Feature extraction
Timing
Frequency modulation
Power demand
Pipelines
Convolution accelerator
depthwise separable pipeline
environment sound classification
sparse kernel
Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales
期刊论文
OAI收割
IEEE ACCESS, 2024, 卷号: 12, 页码: 25129-25145
作者:
Zhang, Tianren
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2025/11/17
Forecasting
Uncertainty
Predictive models
Wind power generation
Analytical models
Convolutional neural networks
Feature extraction
Kernel
Density measurement
Nonparametric statistics
Stability analysis
Power grids
Wind farm power forecasting (WFPF)
uncertainty analysis
WOA-CNN-BiLSTM
non-parametric kernel density estimation (NPKDE)
cloud model (CM)
Unsupervised model adaptation for multivariate calibration by domain adaptation-regularization based kernel partial least square
期刊论文
OAI收割
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 292, 页码: 17
作者:
Shan, Peng
;
Bi, Yiming
;
Li, Zhigang
;
Wang, Qiaoyun
;
He, Zhonghai
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2023/11/17
Model adaptation
Domain-invariant feature representation
Projected maximum mean discrepancy
Kernel partial least squares
How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach
期刊论文
OAI收割
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9
作者:
Sun, Shaolong
;
Hu, Mengyuan
;
Wang, Shouyang
;
Zhang, Chengyuan
  |  
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Search engine data
Two -stage feature selection
Genetic algorithm
Kernel extreme learning machine
Development of a Dual-Attention U-Net Model for Sea Ice and Open Water Classification on SAR Images
期刊论文
OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:
Ren, Yibin
;
Li, Xiaofeng
;
Yang, Xiaofeng
;
Xu, Huan
  |  
收藏
  |  
浏览/下载:94/0
  |  
提交时间:2022/02/18
Sea ice
Radar polarimetry
Feature extraction
Decoding
Oceans
Kernel
Image segmentation
Dual-attention
sea ice and open water classification
synthetic aperture radar (SAR) image
U-Net
A Quality-Related Fault Detection Method Based on the Dynamic Data-Driven Algorithm for Industrial Systems
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 1-11
作者:
Sun, Cheng-Yuan
;
Yin, Yi-Zhen
;
Kang HB(康浩博)
;
Ma HJ(马宏军)
  |  
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2022/01/20
Fault detection
Kernel
Monitoring
Heuristic algorithms
Nonlinear dynamical systems
Entropy
Principal component analysis
Dynamic feature
quality-related
fault detection
KECA
DKECR
Fault detection and diagnosis of the air handling unit via an enhanced kernel slow feature analysis approach considering the time-wise and batch-wise dynamics
期刊论文
OAI收割
ENERGY AND BUILDINGS, 2021, 卷号: 253, 页码: 22
作者:
  |  
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2021/12/28
Air handling unit
Fault detection and diagnosis
Kernel slow feature analysis
Multiway data analysis
Discriminant analysis
A Deep Neural Network for the Estimation of Tree Density Based on High-Spatial Resolution Image
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 11
作者:
Liu, Tang
;
Yao, Ling
;
Qin, Jun
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2022/09/21
Vegetation
Remote sensing
Forestry
Feature extraction
Convolution
Kernel
Deep learning
Deep learning
density regression
loss function
remote sensing
tree counting
A Deep Neural Network for the Estimation of Tree Density Based on High-Spatial Resolution Image
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 页码: 11
作者:
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2022/09/21
Vegetation
Remote sensing
Forestry
Feature extraction
Convolution
Kernel
Deep learning
Deep learning
density regression
loss function
remote sensing
tree counting