×
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... [6]
Faculty of Healt... [2]
Authors
WONG SENG FAT [4]
WONG KOON HO [2]
KWOK HANG FAI [1]
SI YAIN WHAR [1]
YANG ZHIXIN [1]
SIU WENG IN [1]
More...
Document Type
Conference paper [4]
Journal article [2]
Date Issued
2024 [1]
2020 [1]
2016 [1]
2014 [1]
2012 [1]
2010 [1]
More...
Language
英語English [6]
Source Publication
IEEE Internation... [2]
2012 Internation... [1]
IEEM2010 - IEEE ... [1]
Journal of Chemi... [1]
Molecular Therap... [1]
Indexed By
CPCI-S [3]
SCIE [3]
CPCI-SSH [2]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-6 of 6
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
Journal Impact Factor Ascending
Journal Impact Factor Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
Identification of Anticancer Peptides from the Genome of Candida albicans: in Silico Screening, in Vitro and in Vivo Validations
Journal article
Cheong, Hong Hin, Zuo, Weimin, Chen, Jiarui, Un, Chon Wai, Si, Yain Whar, Wong, Koon Ho, Kwok, Hang Fai, Siu, Shirley W.I.. Identification of Anticancer Peptides from the Genome of Candida albicans: in Silico Screening, in Vitro and in Vivo Validations[J]. Journal of Chemical Information and Modeling, 2024, 64(15), 6174-6189.
Authors:
Cheong, Hong Hin
;
Zuo, Weimin
;
Chen, Jiarui
;
Un, Chon Wai
;
Si, Yain Whar
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
5.6
/
5.9
|
Submit date:2024/08/05
Deep-AmPEP30: Improve Short Antimicrobial Peptides Prediction with Deep Learning
Journal article
Yan,Jielu, Bhadra,Pratiti, Li,Ang, Sethiya,Pooja, Qin,Longguang, Tai,Hio Kuan, Wong,Koon Ho, Siu,Shirley W.I.. Deep-AmPEP30: Improve Short Antimicrobial Peptides Prediction with Deep Learning[J]. Molecular Therapy - Nucleic Acids, 2020, 20, 882-894.
Authors:
Yan,Jielu
;
Bhadra,Pratiti
;
Li,Ang
;
Sethiya,Pooja
;
Qin,Longguang
; et al.
Favorite
|
TC[WOS]:
136
TC[Scopus]:
151
IF:
6.5
/
6.7
|
Submit date:2021/03/04
Ampep
Ampicillin
Antimicrobial Peptide
Axpep
Candida Glabrata
Convolutional Neural Network
Drug Discovery
Machine Learning
Reduced Amino Acid Composition
Signal loss of RFID technology with short distance and high frequency
Conference paper
Wong S.F., Ho W.I., Sun K.C.. Signal loss of RFID technology with short distance and high frequency[C], 2016, 405-409.
Authors:
Wong S.F.
;
Ho W.I.
;
Sun K.C.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2019/03/28
Cctv
Rfid
Signal Loss Equation
Study on the production forecasting based on grey neural network model in automotive industry
Conference paper
Lin B., Wong S.F., Ho W.I.. Study on the production forecasting based on grey neural network model in automotive industry[C], 2014, 355-359.
Authors:
Lin B.
;
Wong S.F.
;
Ho W.I.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
|
Submit date:2019/03/28
Automotive Industry
Grey Neural Network
Production Forecasting
Ergonomic design knowledge base in web-enabled quick response system
Conference paper
Wong S.F., Ho W.I., Vong A., Lam C.C., Kam W.S.. Ergonomic design knowledge base in web-enabled quick response system[C], 2012, 22-26.
Authors:
Wong S.F.
;
Ho W.I.
;
Vong A.
;
Lam C.C.
;
Kam W.S.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
1
|
Submit date:2019/03/28
Ergonomic Design
Idef Model
Knowledge Base
Quick Response
Applied RFID and virtual reality technology in professional training system for manufacturing
Conference paper
Wong S.F., Yang Z.X., Cao N., Ho W.I.. Applied RFID and virtual reality technology in professional training system for manufacturing[C], 2010, 676-680.
Authors:
Wong S.F.
;
Yang Z.X.
;
Cao N.
;
Ho W.I.
Favorite
|
TC[Scopus]:
8
|
Submit date:2018/12/22
Knowledge-based Training System
Rfid
Virtual Reality Technology