×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scien... [7]
Faculty of Busin... [1]
Authors
YANG ZHIXIN [3]
ZHANG LIMING [2]
VAI MANG I [1]
CHENGZHONG XU [1]
KO IAT MENG [1]
Document Type
Journal article [13]
Conference pape... [11]
Book [1]
Date Issued
2020 [1]
2019 [2]
2017 [4]
2016 [2]
2015 [3]
2012 [2]
More...
Language
英語English [24]
Source Publication
International Co... [2]
International Jo... [2]
Lecture Notes in... [2]
2010 Internation... [1]
Advances in Comp... [1]
Applied and Nume... [1]
More...
Indexed By
SCIE [13]
CPCI-S [1]
SSCI [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-10 of 25
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Journal Impact Factor Ascending
Journal Impact Factor Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
Issue Date Ascending
Issue Date Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
On time and frequency-varying Okun’s coefficient: a new approach based on ensemble empirical mode decomposition
Journal article
Kim, Myeong Jun, Ko, Stanley I.M., Park, Sung Y.. On time and frequency-varying Okun’s coefficient: a new approach based on ensemble empirical mode decomposition[J]. Empirical Economics, 2020, 61(3), 1151-1188.
Authors:
Kim, Myeong Jun
;
Ko, Stanley I.M.
;
Park, Sung Y.
Favorite
|
TC[WOS]:
4
TC[Scopus]:
6
IF:
1.9
/
2.9
|
Submit date:2021/12/08
Determinant Of Okun’s Law
Ensemble Empirical Mode Decomposition
Okun’s Law
Time-varying Coefficient
Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation
Journal article
Yang,Wensi, Yao,Qingfeng, Ye,Kejiang, Xu,Cheng Zhong. Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation[J]. International Journal of Parallel Programming, 2019, 48(1), 61-79.
Authors:
Yang,Wensi
;
Yao,Qingfeng
;
Ye,Kejiang
;
Xu,Cheng Zhong
Favorite
|
TC[WOS]:
17
TC[Scopus]:
22
IF:
0.9
/
0.9
|
Submit date:2021/03/09
Convolutional Neural Networks
Empirical Mode Decomposition
Reliability
Remaining Useful Life
Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine
Journal article
Wang, Xian Bo, Miao, Pu, Zhang, Kun, Zhang, Xiaoyuan, Wang, Jun. Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine[J]. Transactions of the Institute of Measurement and Control, 2019, 41(14), 4100-4113.
Authors:
Wang, Xian Bo
;
Miao, Pu
;
Zhang, Kun
;
Zhang, Xiaoyuan
;
Wang, Jun
Favorite
|
TC[WOS]:
5
TC[Scopus]:
6
IF:
1.7
/
1.6
|
Submit date:2022/05/17
Empirical Mode Decomposition
Extreme Learning Machines
Fault Diagnosis
Variational Mode Decomposition
Wind Turbine
Empirical Mode Decomposition - Window Fractal (EMDWF) Algorithm in Classification of Fingerprint of Medicinal Herbs
Journal article
Du, Jianwei, Xu, Zhengguang, Mu, Zhichun, Wang, Patrick Shen-Pei, Tang, Yuan Yan, Luo, Huiwu. Empirical Mode Decomposition - Window Fractal (EMDWF) Algorithm in Classification of Fingerprint of Medicinal Herbs[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2017, 31(12).
Authors:
Du, Jianwei
;
Xu, Zhengguang
;
Mu, Zhichun
;
Wang, Patrick Shen-Pei
;
Tang, Yuan Yan
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
0.9
/
1.0
|
Submit date:2018/10/30
Fingerprint Of Medicinal Herbs
Empirical Mode Decomposition (Emd)
Hausdorff Fractal Dimensions
Segmented-windows Fractal Feature
Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery
Journal article
Liang, Jiejunyi, Zhong, Jian-Hua, Yang, Zhi-Xin. Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery[J]. ENERGIES, 2017, 10(10).
Authors:
Liang, Jiejunyi
;
Zhong, Jian-Hua
;
Yang, Zhi-Xin
Favorite
|
TC[WOS]:
11
TC[Scopus]:
15
IF:
3.0
/
3.0
|
Submit date:2018/10/30
Acoustic Signal
Ensemble Empirical Mode Decomposition
Sparse Bayesian Extreme Learning Machine
Sample Entropy
Singular Value Decomposition
Correlated EEMD and effective feature extraction for both periodic and irregular faults diagnosis in rotating machinery
Journal article
Liang J., Zhong J.-H., Yang Z.-X.. Correlated EEMD and effective feature extraction for both periodic and irregular faults diagnosis in rotating machinery[J]. Energies, 2017, 10(10).
Authors:
Liang J.
;
Zhong J.-H.
;
Yang Z.-X.
Favorite
|
TC[WOS]:
11
TC[Scopus]:
15
|
Submit date:2018/12/22
Acoustic Signal
Ensemble Empirical Mode Decomposition
Sample Entropy
Singular Value Decomposition
Sparse Bayesian Extreme Learning Machine
A decomposition-and-ensemble forecasting method based on EMEMD and FWNN training by PSOSSO
Conference paper
Pan, Jianjia, Tang, Yuan Yan, Yang, Lina, IEEE. A decomposition-and-ensemble forecasting method based on EMEMD and FWNN training by PSOSSO[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 283-287.
Authors:
Pan, Jianjia
;
Tang, Yuan Yan
;
Yang, Lina
;
IEEE
Favorite
|
TC[WOS]:
1
TC[Scopus]:
0
|
Submit date:2018/10/30
Forecasting
Empirical Mode Decomposition
Fuzzy Wavelet Neural Network
Psosso
A hybrid EEMD-based SampEn and SVD for acoustic signal processing and fault diagnosis
Journal article
Yang Z.-X., Zhong J.-H.. A hybrid EEMD-based SampEn and SVD for acoustic signal processing and fault diagnosis[J]. Entropy, 2016, 18(4).
Authors:
Yang Z.-X.
;
Zhong J.-H.
Favorite
|
TC[WOS]:
38
TC[Scopus]:
52
|
Submit date:2018/12/22
Acoustic Signal Processing
Ensemble Empirical Mode Decomposition (Eemd)
Fault Diagnosis
Hybrid System
Sample Entropy (Sampen)
Singular Value Decomposition (Svd)
A mean approximation based bidimensional empirical mode decomposition with application to image fusion
Journal article
Jianjia Pan, Yuan Yan Tang. A mean approximation based bidimensional empirical mode decomposition with application to image fusion[J]. Digital Signal Processing: A Review Journal, 2016, 50, 61-71.
Authors:
Jianjia Pan
;
Yuan Yan Tang
Favorite
|
TC[WOS]:
8
TC[Scopus]:
15
IF:
2.9
/
2.9
|
Submit date:2019/02/11
Empirical Mode Decomposition
Image Fusion
Intrinsic Mode Function
Mean Approximation
EMD fractal feature extraction technique in fingerprint of medicinal herbs
Journal article
Jianwei Du, Zhengguang Xu, Zhichun Mu, Yuan Yan Tang, Limin Cui, Tianxuan Duan. EMD fractal feature extraction technique in fingerprint of medicinal herbs[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2015, 13(4).
Authors:
Jianwei Du
;
Zhengguang Xu
;
Zhichun Mu
;
Yuan Yan Tang
;
Limin Cui
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
0.9
/
1.1
|
Submit date:2019/02/11
Emd Fractal Features
Empirical Mode Decomposition (Emd)
Fingerprint Of Medicinal Herbs
Intrinsic Mode Function (Imf)