×
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
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scien... [5]
THE STATE KEY LA... [2]
INSTITUTE OF MIC... [1]
ASIA-PACIFIC ACA... [1]
Faculty of Educa... [1]
Authors
SONG YONGHUA [1]
RUI PAULO DA SIL... [1]
ZHOU WANHUAN [1]
WEI BING [1]
LAO KENG WENG [1]
ZHU YAN [1]
More...
Document Type
Journal article [6]
Book chapter [1]
Conference paper [1]
Date Issued
2024 [4]
2023 [2]
2022 [1]
2008 [1]
Language
英語English [7]
Source Publication
Digest of Techni... [1]
Geotechnical Asp... [1]
IEEE Transaction... [1]
IEEE Transaction... [1]
IEEE Transaction... [1]
International Jo... [1]
More...
Indexed By
SCIE [3]
SSCI [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-8 of 8
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
Issue Date Ascending
Issue Date Descending
Submit date Ascending
Submit date Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNet
Journal article
Feng, Guangxu, Lao, Keng Weng, Chen, Ge. Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNet[J]. IEEE Transactions on Smart Grid, 2024, 15(6), 6005-6017.
Authors:
Feng, Guangxu
;
Lao, Keng Weng
;
Chen, Ge
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
8.6
/
9.6
|
Submit date:2024/07/04
Bayes Methods
Bayesian Neural Network
Current Measurement
Deep Learning
Epistemic Uncertainty
False Data Injection Attack
Neural Networks
Out-of-distribution Detection
Training
Uncertainty
Uncertainty Calibration
Vectors
Emergent learning about measurement and uncertainty in an inquiry context: A case from an elementary classroom
Journal article
Tang, Xiaowei, Shu, Gang, Wei, Bing, Levin, Daniel. Emergent learning about measurement and uncertainty in an inquiry context: A case from an elementary classroom[J]. Science Education, 2024, 108(1), 308-331.
Authors:
Tang, Xiaowei
;
Shu, Gang
;
Wei, Bing
;
Levin, Daniel
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
3.1
/
5.0
|
Submit date:2024/03/12
Context-dependent
Measurement
Model-based
Uncertainty
Effects of measurement data size on Bayesian updating of excavation-induced deflection
Book chapter
出自: Geotechnical Aspects of Underground Construction in Soft Ground:CRC Press, 2024, 页码:310-319
Authors:
Tang, C.
;
He, S. Y.
;
Zhou, W. H.
Favorite
|
TC[Scopus]:
1
|
Submit date:2024/12/05
Bayesian Updating
Deflection
Measurement Data Size
Uncertainty
22.1 A 12GS/s 12b 4× Time-Interleaved Pipelined ADC with Comprehensive Calibration of TI Errors and Linearized Input Buffer
Conference paper
Cao, Yuefeng, Zhang, Minglei, Zhu, Yan, Martins, R. P., Chan, Chi Hang. 22.1 A 12GS/s 12b 4× Time-Interleaved Pipelined ADC with Comprehensive Calibration of TI Errors and Linearized Input Buffer[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 388-390.
Authors:
Cao, Yuefeng
;
Zhang, Minglei
;
Zhu, Yan
;
Martins, R. P.
;
Chan, Chi Hang
Favorite
|
TC[Scopus]:
7
|
Submit date:2024/05/16
Radio Frequency
Power Measurement
Measurement Uncertainty
Linearity
Hardware
Energy Efficiency
Calibration
Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology
Journal article
Li, Yunyi, Wan, Can, Cao, Zhaojing, Song, Yonghua. Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology[J]. IEEE Transactions on Power Systems, 2023, 38(6), 5820-5833.
Authors:
Li, Yunyi
;
Wan, Can
;
Cao, Zhaojing
;
Song, Yonghua
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
6.5
/
7.4
|
Submit date:2023/12/04
Data-driven
Probabilistic Forecasting
Probabilistic Optimal Power Flow
Renewable Energy
Similarity Measurement
Uncertainty
Investigation of the measurement uncertainty with regard to oxygen stoichiometry on health status of proton exchange membrane fuel cell via machine learning method
Journal article
Li, Zhejun, Mao, Qing, Zhao, Yao, Zhang, Ping. Investigation of the measurement uncertainty with regard to oxygen stoichiometry on health status of proton exchange membrane fuel cell via machine learning method[J]. International Journal of Hydrogen Energy, 2023, 52, 929 - 940.
Authors:
Li, Zhejun
;
Mao, Qing
;
Zhao, Yao
;
Zhang, Ping
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2023/08/26
Health Status
Measurement Uncertainty
Machine Learning
Oxygen Stoichiometry
Electrochemical Impedance Spectrometry
A Similarity Measurement Method of Normal Cloud Models for the Operational Status Perception and Computing of Urban Rail Transit
Journal article
Zhu, Guangyu, Yang, Yubo, Sun, Ranran, Wu, Edmond Q., Law, Rob. A Similarity Measurement Method of Normal Cloud Models for the Operational Status Perception and Computing of Urban Rail Transit[J]. IEEE Transactions on Computational Social Systems, 2022, 11(1), 746-755.
Authors:
Zhu, Guangyu
;
Yang, Yubo
;
Sun, Ranran
;
Wu, Edmond Q.
;
Law, Rob
Favorite
|
TC[WOS]:
6
TC[Scopus]:
6
IF:
4.5
/
4.6
|
Submit date:2023/01/30
Analytical Models
Biological System Modeling
Computational Modeling
Entropy
Mathematical Models
Normal Cloud Model
Numerical Models
Operation State Perception
Similarity Measure
Uncertainty
Urban Rail Transit
Weight Measurement
Measurement uncertainty of nano bionix universal testing system
Journal article
Wu C.-L., Pan F.-L., Tuan C.-F., Chen S.-J., Fang W., Yip M.-C.. Measurement uncertainty of nano bionix universal testing system[J]. Sensors and Materials, 2008, 20(7), 351-363.
Authors:
Wu C.-L.
;
Pan F.-L.
;
Tuan C.-F.
;
Chen S.-J.
;
Fang W.
; et al.
Favorite
|
|
Submit date:2019/04/08
Displacement measurement
Force
Uncertainty