×
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... [2]
Authors
SONG YONGHUA [1]
FONG SIMON JAMES [1]
Document Type
Journal article [4]
Date Issued
2024 [1]
2019 [2]
2016 [1]
Language
英語English [4]
Source Publication
Applied Energy [1]
EXPERT SYSTEMS W... [1]
IEEE Access [1]
Neurocomputing [1]
Indexed By
SCIE [3]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-4 of 4
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
Issue Date Ascending
Issue Date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Inhomogeneity influence on the maximum current density of an SOEC stack tower: A circuit-based perspective
Journal article
Li, Peiyang, Chi, Yingtian, Lin, Jin, Mu, Shujun, Song, Yonghua. Inhomogeneity influence on the maximum current density of an SOEC stack tower: A circuit-based perspective[J]. Applied Energy, 2024, 375, 124013.
Authors:
Li, Peiyang
;
Chi, Yingtian
;
Lin, Jin
;
Mu, Shujun
;
Song, Yonghua
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
10.1
/
10.4
|
Submit date:2024/09/03
Equivalent Circuit Model
Inhomogeneity
Maximum Current Density
Solid Oxide Electrolysis Cell
Stack Tower
Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier
Journal article
Gopi Kasinathan, Selvakumar Jayakumar, Amir H. Gandomi, Manikandan Ramachandran, Simon James Fong, Rizwan Patan. Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2019, 134, 112-119.
Authors:
Gopi Kasinathan
;
Selvakumar Jayakumar
;
Amir H. Gandomi
;
Manikandan Ramachandran
;
Simon James Fong
; et al.
Favorite
|
TC[WOS]:
64
TC[Scopus]:
91
IF:
7.5
/
7.6
|
Submit date:2021/03/09
Image Segmentation
Lidc-idri Data Set
Active Contour Model
Inhomogeneity
Multi-scale Gaussian Distribution
Enhanced Cnn Classifier
Multi-Scale Adaptive Level Set Segmentation Method Based on Saliency
Journal article
Dan, Zhang, Philip, Chen C.L., He, Yang, Tieshan, Li. Multi-Scale Adaptive Level Set Segmentation Method Based on Saliency[J]. IEEE Access, 2019, 7, 153031-153040.
Authors:
Dan, Zhang
;
Philip, Chen C.L.
;
He, Yang
;
Tieshan, Li
Favorite
|
TC[WOS]:
4
TC[Scopus]:
5
IF:
3.4
/
3.7
|
Submit date:2022/05/23
Adaptive Segmentation
Intensity Inhomogeneity Image
Level Set
Multi-scale
Saliency
An efficient level set method based on multi-scale image segmentation and hermite differential operator
Journal article
Xiao-Feng Wang, Hai Min, Le Zou, Yi-Gang Zhang, Yuan-Yan Tang, Chun-Lung Philip Chen. An efficient level set method based on multi-scale image segmentation and hermite differential operator[J]. Neurocomputing, 2016, 188, 90-101.
Authors:
Xiao-Feng Wang
;
Hai Min
;
Le Zou
;
Yi-Gang Zhang
;
Yuan-Yan Tang
; et al.
Favorite
|
TC[WOS]:
16
TC[Scopus]:
20
IF:
5.5
/
5.5
|
Submit date:2019/02/11
Hermite Differential Operator
Image Segmentation
Intensity Inhomogeneity
Level Set
Multi-scale