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自动化研究所 [3]
兰州理工大学 [2]
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合肥物质科学研究院 [2]
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期刊论文 [17]
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2021 [17]
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Real-time prediction of river chloride concentration using ensemble learning
期刊论文
ENVIRONMENTAL POLLUTION, 2021, 卷号: 291, 页码: 12
作者:
Zhang, Qianqian
;
Li, Zhong
;
Zhu, Lu
;
Zhang, Fei
;
Sekerinski, Emil
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浏览/下载:56/0
  |  
提交时间:2021/12/07
Chloride prediction
MLP-SCA
Ensemble learning
Stepwise-cluster analysis
Multi-layer perceptron
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
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  |  
浏览/下载:18/0
  |  
提交时间:2022/04/29
PM2.5 concentration forecasting
Complete ensemble empirical mode
decomposition with adaptive noise
Temporal convolutional
Data patterns
Deep learning
Paper Flooding and its relationship with land cover change, population growth, and road density
期刊论文
GEOSCIENCE FRONTIERS, 2021, 卷号: 12, 期号: 6, 页码: 20
作者:
Rahman, Mahfuzur
;
Ningsheng, Chen
;
Mahmud, Golam Iftekhar
;
Islam, Md Monirul
;
Pourghasemi, Hamid Reza
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  |  
浏览/下载:29/0
  |  
提交时间:2021/12/13
Hydro-climatic disasters
Machine learning algorithms
Statistical model
Ensemble model
Relative change in flooding areas
Deep InterBoost networks for small-sample image classification
期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 492-503
作者:
Li, Xiaoxu
;
Chang, Dongliang
;
Ma, Zhanyu
;
Tan, Zheng-Hua
;
Xue, Jing-Hao
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  |  
浏览/下载:6/0
  |  
提交时间:2021/10/14
Ensemble learning
Deep neural network
Small-sample image classification
Overfitting
Improving terrestrial evapotranspiration estimation across China during 2000-2018 with machine learning methods
期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 600, 页码: 18
作者:
Yin, Lichang
;
Tao, Fulu
;
Chen, Yi
;
Liu, Fengshan
;
Hu, Jian
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浏览/下载:57/0
  |  
提交时间:2021/11/05
Evapotranspiration
Machine learning
process-based ET
ET integration
China
Gaussian process regression
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2905-2920
作者:
Zhang, Xinbang
;
Chang, Jianlong
;
Guo, Yiwen
;
Meng, Gaofeng
;
Xiang, Shiming
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  |  
浏览/下载:37/0
  |  
提交时间:2021/11/02
Computer architecture
Search problems
Optimization
Task analysis
Bridges
Binary codes
Estimation
Neural architecture search(NAS)
ensemble gumbel-softmax
distribution guided sampling
One-stage object detection knowledge distillation via adversarial learning
期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 17
作者:
Dong, Na
;
Zhang, Yongqiang
;
Ding, Mingli
;
Xu, Shibiao
;
Bai, Yancheng
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  |  
浏览/下载:32/0
  |  
提交时间:2021/11/02
Knowledge distillation
Object detection
Generative adversarial learning
EFCNet: Ensemble Full Convolutional Network for Semantic Segmentation of High-Resolution Remote Sensing Images
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021
作者:
Chen, Li
;
Dou, Xin
;
Peng, Jian
;
Li, Wenbo
;
Sun, Bingyu
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  |  
浏览/下载:17/0
  |  
提交时间:2022/01/25
Convolution
Feature extraction
Kernel
Training
Remote sensing
Image segmentation
Spatial resolution
Convolutional neural network (CNN)
ensemble learning
remote sensing
semantic segmentation
Trustworthiness prediction of cloud services based on selective neural network ensemble learning
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 卷号: 168, 页码: 17
作者:
Mao, Chengying
;
Lin, Rongru
;
Towey, Dave
;
Wang, Wenle
;
Chen, Jifu
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  |  
浏览/下载:21/0
  |  
提交时间:2021/03/23
Cloud services
Trustworthiness prediction
Selective ensemble learning
Neural networks
Particle swarm optimization (PSO)
Using CNN and HHT to Predict Blood Pressure Level Based on Photoplethysmography and Its Derivatives
期刊论文
BIOSENSORS-BASEL, 2021, 卷号: 11, 期号: 4
作者:
Sun, Xiaoxiao
;
Zhou, Liang
;
Chang, Shendong
;
Liu, Zhaohui
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  |  
浏览/下载:29/0
  |  
提交时间:2021/05/18
blood pressure
photoplethysmography
derivatives of PPG
convolutional neural network
ensemble empirical mode decomposition
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