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院士团队服务(5)
在“
Elsevier电子期刊
”中,
命中:
15,448
条,耗时:小于0.01 秒
在所有数据库中总计命中:
5
条
1.
10-Year follow-up of 621 patients treated using high-dose rate brachytherapy as ambulatory
boost
technique in conservative breast cancer treatment
作者:
Laurent Qué
;
ro
;
laurent.quero@sls.aphp.fr
;
Sophie Guillerm
;
Naila Taright
;
Sophie Michaud
;
Luis Teixeira
;
Laurence Cahen-Doidy
;
Edwige Bourstyn
;
Marc Espié
;
Christophe Hennequin
关键词:
Breast
;
HDR
;
Boost
;
Brachytherapy
;
Volume
;
Relapse
刊名:Radiotherapy and Oncology
出版年:2017
2.
A 19.38 dBm OIP3 gm-
boost
ed up-conversion CMOS mixer for 5-6 GHz application
作者:
Wen-Hui Huang
;
I-Yu Huang
;
Yu-Shan Tseng
;
Chia-Hsu Hsieh
;
Chua-Chin Wang
;
ccwang@ee.nsysu.edu.tw
关键词:
Highly linear
;
Up-conversion
;
WLAN
;
Current-reused and gm-
boost
ing
刊名:Microelectronics Journal
出版年:2017
3.
Does an integrated
boost
increase acute toxicity in prone hypofractionated breast irradiation? A randomized controlled trial
作者:
Leen Paelinck
a
;
Akos Gulyban
b
;
Ferenc Lakosi
b
;
Tom Vercauteren
a
;
Werner De Gersem
a
;
c
;
Bruno Speleers
c
;
Christel Monten
a
;
c
;
Thomas Mulliez
a
;
Patrick Berkovic
b
;
Annick van Greveling
a
;
Frederik Decoster
a
;
Philippe Coucke
b
;
Wilfried De Neve
a
;
c
;
Liv Veldeman
a
;
c
;
liv.veldeman@uzgent.be
关键词:
Breast cancer
;
Whole-breast irradiation
;
Prone
;
Hypofractionation
;
Simultaneous integrated
boost
刊名:Radiotherapy and Oncology
出版年:2017
4.
Adolescent
boost
er with hepatitis B virus vaccines decreases HBV infection in high-risk adults
作者:
Yuting Wang
a
;
1
;
Taoyang Chen
b
;
1
;
Ling-ling Lu
b
;
Minjie Wang
c
;
Dongmei Wang
a
;
d
;
Hongyu Yao
b
;
Chunsun Fan
b
;
Jun Qi
c
;
Yawei Zhang
b
;
e
;
Chunfeng Qu
a
;
d
;
quchf@cicams.ac.cn
关键词:
Hepatitis B virus
;
Vaccination
;
Adolescent
boost
er
;
Adulthood
;
Maternal HBsAg status
刊名:Vaccine
出版年:2017
5.
A regulated
boost
ing technique for material fatigue property prognostics
作者:
De Z. Li
a
;
Derek.Li@emechsys.com
;
Wilson Wang
b
;
wwang3@lakeheadu.ca
;
Fathy Ismail
c
;
fmismail@uwaterloo.ca
关键词:
Material fatigue property prediction
;
Boost
ing technique
;
Ensemble learning
;
Overfitting
;
Time series forecast
刊名:Engineering Applications of Artificial Intelligence
出版年:2017
6.
Data classification with binary response through the
Boost
ing algorithm and logistic regression
作者:
Fortunato S. de Menezes
;
a
;
b
;
fmenezes@dfi.ufla.br" class="auth_mail" title="E-mail the corresponding author
;
fsdmenezes@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Gilberto R. Liska
b
;
gilbertoliska@unipampa.edu.br" class="auth_mail" title="E-mail the corresponding author
;
Marcelo A. Cirillo
b
;
macufla@dex.ufla.br" class="auth_mail" title="E-mail the corresponding author
;
Má
;
rio J.F. Vivanco
b
;
ferrua@dex.ufla.br" class="auth_mail" title="E-mail the corresponding author
关键词:
Boost
ing algorithm
;
Data classification
;
Logistic regression
;
Information criteria
;
AIC
;
BIC
;
Selection of models
;
Monte Carlo Simulation
刊名:Expert Systems with Applications
出版年:2017
7.
Terpineol as a novel octane
boost
er for extending the knock limit of gasoline
作者:
R. Vallinayagam
;
vallinayagam.raman@kaust.edu.sa" class="auth_mail" title="E-mail the corresponding author
;
S. Vedharaj
;
Nimal Naser
;
William L. Roberts
;
Robert W. Dibble
;
S. Mani Sarathy
;
mani.sarathy@kaust.edu.sa" class="auth_mail" title="E-mail the corresponding author
关键词:
Terpineol
;
Octane
boost
er
;
Ignition
;
Combustion
;
FACE gasoline
;
IQT
刊名:Fuel
出版年:2017
8.
Subspace ensemble learning via totally-corrective
boost
ing for gait recognition
作者:
Guangkai Ma
a
;
1
;
Author Vitae
;
Yan Wang
b
;
1
Author Vitae
;
Ligang Wu
a
Author Vitae
关键词:
Subspace learning
;
Totally-corrective
boost
ing
;
Ensemble learning
;
Gait recognition
刊名:Neurocomputing
出版年:2017
9.
Boost
ed neural networks for improved short-term electric load forecasting
作者:
A.S. Khwaja
;
kashaharyar@gmail.com
;
X. Zhang
;
A. Anpalagan
;
B. Venkatesh
关键词:
Short-term electric load forecasting
;
Artificial neural networks
;
Ensemble neural networks
;
Boost
ing
刊名:Electric Power Systems Research
出版年:2017
10.
Feature selection and multiple kernel
boost
ing framework based on PSO with mutation mechanism for hyperspectral classification
作者:
Chengming Qi
a
;
b
;
chming.qi@gmail.com
Author Vitae
;
Zhangbing Zhou
a
;
c
;
zhangbing.zhou@gmail.com
Author Vitae
;
Yunchuan Sun
d
Author Vitae
;
Houbing Song
e
;
Houbing.Song@mail.wvu.edu
Author Vitae
;
Lishuan Hu
a
;
b
;
hulishuan@163.com
Author Vitae
;
Qun Wang
a
;
qunw@cugb.edu.cn
Author Vitae
关键词:
Ensemble learning
;
Feature selection
;
Hyperspectral remote sensing image
;
Multiple kernel
boost
ing
刊名:Neurocomputing
出版年:2017
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