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在“
Elsevier电子期刊
”中,
命中:
10,687
条,耗时:0.1489262 秒
在所有数据库中总计命中:
16,764
条
1.
Superior
enhancement
of
NO
2
gas response using n-p-n transition of carbon na
no
tubes/SnO
2
na
no
wires heterojunctions
作者:
Quan Thi Minh Nguyet
a
;
b
Author Vitae
;
Nguyen Van Duy
a
;
1
;
nguyenvanduy@itims.edu.vn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Nguyen Thi Phuong
a
Author Vitae
;
Nguyen Ngoc Trung
b
Author Vitae
;
Chu Manh Hung
a
Author Vitae
;
Nguyen Duc Hoa
a
Author Vitae
;
Nguyen Van Hieu
a
;
1
;
hieu@itims.edu.vn" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
CNTs/S
nO
2 NWs
;
n-p-n heterojunction
;
Gas sensors
;
ppb level
NO
2
刊名:Sensors & Actuators: B. Chemical
出版年:2017
2.
Identification of a putative FR901469 biosynthesis gene cluster in fungal sp.
No
. 11243 and
enhancement
of the productivity by overexpressing the transcription factor gene frbF
作者:
Makoto Matsui
1
;
2
;
makoto.matsui@astellas.com
;
Tatsuya Yokoyama
1
;
2
;
Kaoru Nemoto
2
;
Toshitaka Kumagai
2
;
3
;
Goro Terai
4
;
5
;
Koichi Tama
no
2
;
6
;
Masayuki Machida
2
;
6
;
Takashi Shibata
1
;
2
关键词:
Fungal sp.
No
. 11243
;
FR901469
;
Secondary metabolite
;
Ge
no
mic analysis
;
Transcriptome
刊名:Journal of Bioscience and Bioengineering
出版年:2017
3.
CT Angiography: Post-processed Contrast
Enhancement
for Improved Detection of Pulmonary Embolism
作者:
Daniela Muenzel
;
MD
a
;
muenzel@tum.de
;
Alexander A. Fingerle
;
MD
a
;
Tina Zahel
;
MD
a
;
Andreas Sauter
;
MD
a
;
Alain Vlassenbroek
;
PhD
b
;
Martin Dobritz
;
MD
a
;
Ernst J. Rummeny
;
MD
a
;
Peter B.
No
ë
l ;
PhD
a
关键词:
Computed tomography
;
no
n-ionic iodine contrast agent
;
pulmonary embolism
;
contrast
enhancement
;
post-processing software
刊名:Academic Radiology
出版年:2017
4.
Image contrast
enhancement
using fuzzy clustering with adaptive cluster parameter and sub-histogram equalization
作者:
M. Shakeri
m.shakeri92@basu.ac.ir
Author Vitae
;
M.H. Dezfoulian
;
dezfoulian@basu.ac.ir
Author Vitae
;
H. KhotanlouAuthor Vitae
;
A.H. BaratiAuthor Vitae
;
Y. MasoumiAuthor Vitae
关键词:
Contrast
enhancement
;
Histogram equalization
;
Image quality evaluation
;
Image quality
enhancement
刊名:Digital Signal Processing
出版年:2017
5.
Enhancement
of breakdown strength of SrTiO
3
/na
no
-SiO
2
composite film prepared by sol-gel tech
no
logy
作者:
Fei Li
;
Manwen Yao
;
yaomw@tongji.edu.cn
;
Zhen Su
;
Jianwen Chen
;
Yong Peng
;
Qiuxia Li
;
Xi Yao
关键词:
SrTiO3/na
no
-SiO2
;
Composite film
;
Absorbed water
;
A
no
dic oxidation
;
Breakdown strength
;
Sol-gel tech
no
logy
刊名:Ceramics International
出版年:2017
6.
Synergistic effect of p-n heterojunction, supporting and zeolite na
no
particles in enhanced photocatalytic activity of NiO and SnO
2
作者:
Hadis Derikvandi
a
;
b
;
Alireza Nezamzadeh-Ejhieh
a
;
b
;
c
;
arnezamzadeh@iaush.ac.ir
关键词:
Cli
no
ptilolite na
no
particles
;
Metronidazole
;
NiO-S
nO
2
;
Heterogeneous photocatalysis
刊名:Journal of Colloid and Interface Science
出版年:2017
7.
Evaluation of alkaline electrolyzed water to replace traditional phosphate
enhancement
solutions: Effects on water holding capacity, tenderness, and sensory characteristics
作者:
Macc Rigdon
a
;
Yen-Con Hung
b
;
Alexander M. Stelzleni
a
;
astelz@uga.edu
关键词:
Water holding capacity
;
Enhancement
;
Pork
;
Water
;
Alkaline
刊名:Meat Science
出版年:2017
8.
So
no
chemical preparation of stable porous MnO
2
and its application as an efficient electrocatalyst for oxygen reduction reaction
作者:
Ling-Xia Zuo
a
;
Li-Ping Jiang
a
;
Jianglp@nju.edu.cn
;
E.S. Abdel-Halim
b
;
Jun-Jie Zhu
a
;
jjzhu@nju.edu.cn
关键词:
Porous M
nO
2
;
So
no
chemical preparation
;
Oxygen reduction reaction
刊名:Ultrasonics So
no
chemistry
出版年:2017
9.
Ultra-fast and highly-sensitive gas sensing arising from thin S
nO
2
inner wall supported hierarchical bilayer oxide hollow spheres
作者:
Han LiAuthor Vitae
;
Wuyuan XieAuthor Vitae
;
Bin LiuAuthor Vitae
;
Yanrong WangAuthor Vitae
;
Songhua XiaoAuthor Vitae
;
Xiaochuan DuanAuthor Vitae
;
Qiuhong LiAuthor Vitae
;
Taihong Wang
;
thwang@xmu.edu.cn
Author Vitae
关键词:
Bilayer hollow spheres
;
S
nO
2/α-Fe2O3
;
Templating
;
Gas sensing
;
Ultra-fast
刊名:Sensors and Actuators B: Chemical
出版年:2017
10.
LLNet: A deep autoencoder approach to natural low-light image
enhancement
作者:
Kin Gwn Lore
kglore@iastate.edu" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Adedotun Akintayo
akintayo@iastate.edu" class="auth_mail" title="E-mail the corresponding author
Author Vitae
;
Soumik Sarkar
;
soumiks@iastate.edu" class="auth_mail" title="E-mail the corresponding author
Author Vitae
关键词:
Image
enhancement
;
Natural low-light images
;
Deep autoencoders
刊名:Pattern Recognition
出版年:2017
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