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A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China
期刊论文
ORE GEOLOGY REVIEWS, 2023, 卷号: 163, 页码: 20
作者:
Zhang, Baoyi
;
Xu, Kun
;
Khan, Umair
;
Li, Xuefeng
;
Du, Linze
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/22
3D geological models
Convolutional neural networks
Deconvolution
Weight of evidence
3D mineral prospectivity modeling
The declines of heterogeneity and stability in diatom communities are associated with human activity
期刊论文
ECOLOGY AND EVOLUTION, 2023, 卷号: 13, 期号: 11, 页码: 10
作者:
Wang, Rong
;
Zheng, Wenxiu
;
Xu, Min
;
Yang, Hui
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  |  
浏览/下载:4/0
  |  
提交时间:2024/03/14
biodiversity
ecological network
lake
network distance
richness
species turnover
Seismic Random Noise Suppression Model Based on Downsampling and Superresolution
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 14
作者:
Fang, Ziyi
;
Lin, Hongbo
;
Sun, Fuyao
;
Song, Xue
;
Zhang, Chao
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  |  
浏览/下载:0/0
  |  
提交时间:2023/11/17
Noise reduction
Superresolution
Image restoration
Generators
Data models
Complexity theory
Signal resolution
Seismic exploration
seismic random noise
seismic signal denoising
superresolution (SR)
Marginal and joint failure importance for K-terminal network edges under counting process
期刊论文
Reliability Engineering and System Safety, 2022, 卷号: 223
作者:
Ma, Chengye
;
Du, Yongjun
;
Zhang, Yuchun
;
Cai, Zhiqiang
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  |  
浏览/下载:13/0
  |  
提交时间:2022/04/21
Failure (mechanical)
Numerical methods
Poisson distribution
Random processes
Reliability analysis
Risk assessment
Roads and streets
Stochastic systems
Counting process
Edge failures
Importance measure
Joint failure
Joint failure importance
K terminals
K-terminal network
Marginal failure importance
Network failure
Non-homogeneous Poisson process
Ensemble wavelet-learning approach for predicting the effective mechanical properties of concrete composite materials
期刊论文
COMPUTATIONAL MECHANICS, 2022, 页码: 31
作者:
Linghu, Jiale
;
Dong, Hao
;
Cui, Junzhi
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  |  
浏览/下载:12/0
  |  
提交时间:2022/06/21
Concrete composite materials
Weibull distribution
Equivalent mechanical parameters
Artificial neural networks
Wavelet transform
The emergence of triads on signed social network
期刊论文
EUROPEAN PHYSICAL JOURNAL PLUS, 2022, 卷号: 137, 期号: 3, 页码: 8
作者:
Li, Zhenpeng
;
Tang, Xijin
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  |  
浏览/下载:15/0
  |  
提交时间:2022/04/29
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems
期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:
Huang, Yunhu
;
Chen, Dewang
;
Zhao, Wendi
;
Lv, Yisheng
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  |  
浏览/下载:19/0
  |  
提交时间:2022/07/25
Computational modeling
Training
Microwave integrated circuits
Deep learning
Data models
Artificial neural networks
Training data
Fuzzy c-means (FCM) clustering
maximal information coefficient (MIC)
random input (RI)
deep patch learning classifier
interpretability
Adaptive Control of Discrete-time Nonlinear Systems Using ITF-ORVFL
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 556-563
作者:
Xiaofei Zhang
;
Hongbin Ma
;
Wenchao Zuo
;
Man Luo
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/03/09
Adaptive control
initial-training-free online learning algorithm
random vector functional link networks
Heterogeneous Hierarchical Feature Aggregation Network for Personalized Micro-Video Recommendation
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 805-818
作者:
Cai, Desheng
;
Qian, Shengsheng
;
Fang, Quan
;
Xu, Changsheng
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  |  
浏览/下载:19/0
  |  
提交时间:2022/06/06
Graph neural networks
Task analysis
Semantics
Aggregates
Data structures
Collaboration
Visualization
Heterogeneous graph
micro-video recommendation
multi-modal
Extraction Technology, Structural Properties and Antioxidative Activities of Polysaccharides from Codonopsis pilosula
期刊论文
LATIN AMERICAN JOURNAL OF PHARMACY, 2022, 卷号: 41, 期号: 6, 页码: 1085-1092
作者:
Xue, Hongyan
;
Yang, Mingjun
;
Wang, Xinjian
;
Wang, Yonggang
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  |  
浏览/下载:24/0
  |  
提交时间:2022/07/19
antioxidative activity
Codonopsis pilosula
extraction conditions
polysaccharides
structural properties
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