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科研机构
山东大学 [109]
内容类型
期刊论文 [61]
会议论文 [48]
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2019 [16]
2018 [14]
2017 [2]
2016 [7]
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2014 [4]
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专题:山东大学
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A novel electrochemical method for simultaneous measurement of real-time potentials and photocurrent of various photoelectrochemical systems
期刊论文
JOURNAL OF POWER SOURCES, 2019, 卷号: 415, 页码: 99-104
作者:
Ma, Xinzhou
;
Mai, Manfang
;
Lin, Haisheng
;
Zeng, Longjiao
;
Zhang, Jingtao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/11
Photoelectrochemical water splitting
Photoelectrochemical cathodic
protection
Photocatalysis
Artificial solar synthesis
Semiconducting
materials
Establishment of PM2.5 Prediction Model Based on MAIAC AOD Data of High Resolution Remote Sensing Images
期刊论文
International Journal of Pattern Recognition and Artificial Intelligence, 2019, 卷号: 33, 期号: 3
作者:
Han, Xiaofeng
;
Cui, Xianghui
;
Ding, Lin
;
Li, Zengshun
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/11
Traffic accident data mining based on association rules theory
期刊论文
Frontiers in Artificial Intelligence and Applications, 2019, 卷号: 314, 页码: 330-340
作者:
Li, Meiying
;
Li, Meiye
;
Hu, Xiaoxia
;
Li, Yu
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
Association rules
Data mining
SQL Server
Traffic accidents
Combinatorial expression of different β-carotene hydroxylases and ketolases in Escherichia coli for increased astaxanthin production
期刊论文
Journal of Industrial Microbiology and Biotechnology, 2019
作者:
Wu Y.
;
Yan P.
;
Liu X.
;
Wang Z.
;
Tang Y.-J.
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/11
Artificial operon
Astaxanthin
Bifunctional enzymes
Combinatorial expression
Fusion protein
Intelligent scheduling with deep fusion of hardware-software energy-saving principles for greening stochastic nonlinear heterogeneous super-systems
期刊论文
APPLIED INTELLIGENCE, 2019, 卷号: 49, 期号: 9, 页码: 3159-3172
作者:
Wang, Jinglian
;
Gong, Bin
;
Liu, Hong
;
Li, Shaohui
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
Stochastic nonlinear heterogeneous super-systems
Deep fusion
Hardware-software energy-saving principles
Energy-aware cloud
scheduling
Distributed artificial intelligence
Root-cause analysis of alarms based on data segments with similar qualitative trends
期刊论文
1st International Conference on Industrial Artificial Intelligence, IAI 2019, 2019
作者:
Wang, Zhen
;
Wang, Jiandong
;
Han, Banglei
;
Xie, Chu
;
Yang, Zijiang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
Data clustering
Industrial alarm systems
Piece-wise linear representation
Qualitative trends
Root cause analysis
Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 卷号: 13, 期号: 9, 页码: 1401-1409
作者:
Li, Xu
;
Hong, Lin
;
Wang, Jian-chun
;
Liu, Xiang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
learning (artificial intelligence)
road safety
fatigue
authors
steering features
facial features
semisupervised active learning
algorithm
semantic labels
rest data
efficient fatigue driving
detection model
unlabelled driving data
costly work
laborious work
novel fatigue
Prediction of Channel Excess Attenuation for Satellite Communication Systems at Q-Band Using Artificial Neural Network
期刊论文
IEEE Antennas and Wireless Propagation Letters, 2019, 卷号: 18, 期号: 11, 页码: 2235-2239
作者:
Bai L.
;
Wang C.-X.
;
Xu Q.
;
Ventouras S.
;
Goussetis G.
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
Artificial neural network (ANN)
Channel excess attenuation
Satellite communication systems
Weather conditions
ASM1D-GAN: An Intelligent Fault Diagnosis Method Based on Assembled 1D Convolutional Neural Network and Generative Adversarial Networks
期刊论文
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2019, 卷号: 91, 期号: 10, 页码: 1237-1247
作者:
Gao, Shengyao
;
Wang, Xueren
;
Miao, Xuhong
;
Su, Changwei
;
Li, Yibin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/11
Generative Adversarial Networks
1D convolutional neural network
Fault
diagnosis
Artificial intelligence
Research on remote sensing image target recognition based on deep convolution neural network
期刊论文
International Journal of Pattern Recognition and Artificial Intelligence, 2019
作者:
Han X.
;
Jiang T.
;
Zhao Z.
;
Lei Z.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
deep convolution neural network
Faster R-CNN
Remote sensing images
SSD
target recognition
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