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北京航空航天大学 [11]
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A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
期刊论文
JOURNAL OF FORECASTING, 2022, 页码: 22
作者:
Li, Zhongfei
;
Gan, Kai
;
Sun, Shaolong
;
Wang, Shouyang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/02/07
AdaBoost-ensemble
deep learning
hybrid data preprocessing-analysis strategy
LSTM
A real-time small target detection network
期刊论文
Signal Image and Video Processing, 2021, 卷号: 15, 期号: 6, 页码: 1265–1273
作者:
Ju MR(鞠默然)
;
Luo JN(罗江宁)
;
Liu GQ(刘广琦)
;
Luo HB(罗海波)
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  |  
浏览/下载:25/0
  |  
提交时间:2021/03/14
Small target detection
Deep convolutional neural network
Receptive feld
Data preprocessing
ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 148744-148756
作者:
Hou, Yemao
;
Cui, Xindong
;
Canul-Ku, Mario
;
Jin, Shichao
;
Hasimoto-Beltran, Rogelio
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  |  
浏览/下载:34/0
  |  
提交时间:2022/03/01
Three-dimensional displays
Solid modeling
Computational modeling
Machine learning
Two dimensional displays
Biological system modeling
Shape
Archives of digital morphology
data preprocessing
feature extraction
3D microfossil model classification
deep learning
A fast and robust 3D face recognition approach based on deeply learned face representation
期刊论文
NEUROCOMPUTING, 2019, 卷号: 363, 页码: 375-397
作者:
Cai, Ying
;
Lei, Yinjie
;
Yang, Menglong
;
You, Zhisheng
;
Shan, Shiguang
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  |  
浏览/下载:110/0
  |  
提交时间:2019/12/10
3D face recognition
Deep learning
Face preprocessing
Multiple data augmentation
Approaches to wind power curve modeling: A review and discussion
期刊论文
Renewable and Sustainable Energy Reviews, 2019, 卷号: Vol.116, 页码: 109422
作者:
Yun Wang
;
Qinghua Hu
;
Linhao Li
;
Aoife M. Foley
;
Dipti Srinivasan
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  |  
浏览/下载:11/0
  |  
提交时间:2019/11/21
Wind power curve modeling
Wind data classification
Wind data preprocessing
Error characteristics
Asymmetric distributions
Asymmetric loss function
Approaches to wind power curve modeling: A review and discussion
期刊论文
Renewable and Sustainable Energy Reviews, 2019, 卷号: Vol.116
作者:
Wang, Y.
;
Hu, Q.
;
Li, L.
;
Foley, A.M.
;
Srinivasan, D.
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/21
Asymmetric distributions
Asymmetric loss function
Error characteristics
Wind data classification
Wind data preprocessing
Wind power curve modeling
DLBooster: Boosting End-to-End Deep Learning Workflows with Offloading Data Preprocessing Pipelines
会议论文
PROCEEDINGS OF THE 48TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING (ICPP 2019), 2019-01-01
作者:
Cheng, Yang
;
Li, Dan
;
Guo, Zhiyuan
;
Jiang, Binyao
;
Lin, Jiaxin
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  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Deep learning
data preprocessing
cloud computing
FPGAs
A Novel Feature Selection Method for Software Fault Prediction Model
会议论文
2019 ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2019) - R & M IN THE SECOND MACHINE AGE - THE CHALLENGE OF CYBER PHYSICAL SYSTEMS, 2019-01-01
作者:
Cui, Can
;
Liu, Bin
;
Li, Guoqi
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  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
classification
data preprocessing
feature selection (FS)
machine learning
software fault prediction model
Improving ANN model performance in runoff forecasting by adding soil moisture input and using data preprocessing techniques
期刊论文
HYDROLOGY RESEARCH, 2018, 卷号: 49, 期号: 3
作者:
Ba, Huanhuan
;
Guo, Shenglian
;
Wang, Yun
;
Hong, Xingjun
;
Zhong, Yixuan
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
artificial neural network
data preprocessing
runoff forecasting
singular spectrum analysis
soil moisture
Performance assessment of photovoltaic modules based on daily energy generation estimation
期刊论文
ENERGY, 2018, 卷号: 165, 页码: 1160-1172
作者:
Wang, Jing-Yi
;
Qian, Zheng
;
Zareipour, Hamidreza
;
Wood, David
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
PV plant
Performance assessment
Daily energy generation estimation
Data preprocessing
Weather conditions
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