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Resource rents, economic growth, and the role of institutional quality: A panel threshold analysis
期刊论文
Resources Policy, 2019, 卷号: Vol.61, 页码: 293-303
作者:
Mohamued Elyas Abdulahi
;
Yang Shu
;
Muhammad Asif Khan
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浏览/下载:14/0
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提交时间:2019/12/13
Resource rent
Economic growth
Resource curse
Rule of law
Resource-rich
Threshold
Resource rents, economic growth, and the role of institutional quality: A panel threshold analysis.
期刊论文
Resources Policy, 2019, 卷号: Vol.61, 页码: 293-303
作者:
Abdulahi, ME
;
Shu, Y
;
Khan, MA
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/17
E02
Economic growth
O13
O43
O47
P48
Resource rent
Resource-rich
Rule of law
Threshold
A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising
期刊论文
COMPUTATIONAL ECONOMICS, 2019, 卷号: Vol.54 No.2, 页码: 729-761
作者:
He, F
;
He, XS
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浏览/下载:8/0
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提交时间:2019/12/17
Economic (financial) time series
Wavelet shrinkage denoising
Thresholding function
Threshold rule
Continuously differentiable
Performance analysis of wireless ad-hoc network based on bidirectional full-duplex and saturated state
期刊论文
IET COMMUNICATIONS, 2018, 卷号: 12, 期号: 12, 页码: 1422-1430
作者:
Li, Suoping
;
Sun, Hongchun
;
Dou, Zufang
;
Zhou, Yongqiang
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  |  
浏览/下载:7/0
  |  
提交时间:2019/11/15
probability
ad hoc networks
mobile radio
Markov processes
telecommunication network reliability
wireless channels
wireless ad-hoc network
saturated state
TC
node mobile model
account node mobility
mobile state
mobile rule
steady-state probability
state transition probability matrix
network delay
bidirectional ad-hoc network
network interference
saturated Markov state transition model
saturated Markov state transition model
contention window size
average countdown length
packet attempting retransmission
back-off time
data transmission
SIR threshold
theoretical analysis
numerical simulation
space resources
BFD system
Predictions of Concrete Compressive Strength Based on a Hybrid Algorithm of GA-BP
期刊论文
PROCEEDINGS OF THE 4TH ANNUAL INTERNATIONAL CONFERENCE ON MATERIAL ENGINEERING AND APPLICATION (ICMEA 2017), 2017, 卷号: Vol.146, 页码: 265-270
作者:
Shi, RD
;
Zhong, W
;
Zhang, H
;
Chen, HB
;
Ji, X
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浏览/下载:8/0
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提交时间:2019/02/28
attribute reduction rule
GA-BP
time threshold
concrete compressive strength
基于信噪比评价的阈值优选小波去噪法
期刊论文
2016, 2016
钟建军
;
宋健
;
由长喜
;
殷信桥
;
ZHONG Jianjun
;
SONG Jian
;
YOU Changxi
;
YIN Xinqiao
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  |  
浏览/下载:7/0
A system boundary identification method for life cycle assessment
期刊论文
INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT, 2014, 卷号: 19, 页码: 646-660
作者:
Li, Tao
;
Zhang, Hongchao
;
Liu, Zhichao
;
Ke, Qingdi
;
Alting, Leo
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浏览/下载:2/0
  |  
提交时间:2019/12/09
Life cycle assessment
Process tree
Search algorithm
System boundary
Threshold rule
A novel feature subset selection algorithm based on association rule mining
期刊论文
INTELLIGENT DATA ANALYSIS, 2013, 卷号: 17, 期号: [db:dc_citation_issue], 页码: 803-835
作者:
Wang, Guangtao
;
Song, Qinbao
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浏览/下载:8/0
  |  
提交时间:2019/12/10
association rule
Feature subset selection
threshold prediction
statistical metrics of data sets
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE)
会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.
;
Wang M.-J.
;
Han G.-L.
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浏览/下载:34/0
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提交时间:2013/03/25
Being an efficient method of information fusion
image fusion has been used in many fields such as machine vision
medical diagnosis
military applications and remote sensing.In this paper
Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing
including segmentation
target recognition et al.
and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First
the two original images are decomposed by wavelet transform. Then
based on the PCNN
a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength
so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So
the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment
the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range
which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore
by this algorithm
the threshold adjusting constant is estimated by appointed iteration number. Furthermore
In order to sufficient reflect order of the firing time
the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved
each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules
the experiments upon Multi-focus image are done. Moreover
comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.
A method to determine the orientations of adsorbed molecules by near edge structures and selection rules
期刊论文
2010, 2010
Zhang Wei-Hua
;
Li Jia-Ming
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