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清华大学 [3]
北京大学 [3]
深圳先进技术研究院 [2]
力学研究所 [1]
厦门大学 [1]
兰州理工大学 [1]
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期刊论文 [17]
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Parametric and V&V study in a fundamental CFD process: revisiting the lid-driven cavity flow
期刊论文
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2021, 页码: 16
作者:
Ge, Mingming
;
Zhang XL(张鑫磊)
;
Brookshire, Kaleb
;
Coutier-Delgosha, Olivier
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/01/24
Lid-driven cavity
Fluid dynamics
Computational fluid dynamics
Numerical method
Verification and validation
Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU
期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2020, 页码: 26
作者:
Yao, Chunrong
;
Liu, Wantao
;
Tang, Weiqing
;
Guo, Jinrong
;
Hu, Songlin
收藏
  |  
浏览/下载:54/0
  |  
提交时间:2020/12/10
CNNs
energy efficiency
high-performance GPU
inference
High performance temperature and refractive index dual-purpose sensor based on the ethanol-sealed metal-dielectric-metal waveguide
期刊论文
Wuli Xuebao/Acta Physica Sinica, 2020, 卷号: 69, 期号: 16
作者:
Qi, Yun-Ping
;
Zhang, Ting
;
Guo, Jia
;
Zhang, Bao-He
;
Wang, Xiang-Xian
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/11/14
Electromagnetic wave polarization
Ethanol
Geometry
Metal analysis
Optical waveguides
Phonons
Photons
Plasmonic metamaterials
Refractometers
Structural design
Surface plasmon resonance
Temperature sensors
Transmissions
Effective refractive index
Magnetic field distribution
Multi-mode interference
Optimal parameter settings
Refractive index sensor
Sub-wavelength waveguides
Surface plasmon polaritons
Surface plasmon resonance sensor
Improvement of the regression model for spindle thermal elongation by a Boosting-based outliers detection approach
期刊论文
International Journal of Advanced Manufacturing Technology, 2018, 卷号: 99, 页码: 1389-1403
作者:
Lei, Mohan
;
Jiang, Gedong
;
Yang, Jun
;
Mei, Xuesong
;
Xia, Ping
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/11/26
Boosting
Environmental disturbances
Generalization ability
Optimal parameter settings
Outlier Detection
Regression algorithms
Spindle
Thermal elongation
A Fully-Automatic Multiparametric Radiomics Model: Towards Reproducible and Prognostic Imaging Signature for Prediction of Overall Survival in Glioblastoma Multiforme.
期刊论文
SCIENTIFIC REPORTS, 2017
作者:
Li, Qihua
;
Bai, Hongmin
;
Chen, Yinsheng
;
Sun, Qiuchang
;
Liu, Lei
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2018/02/02
Estimation of high dimensional mean regression in the absence of symmetry and light tail assumptions
期刊论文
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2017, 卷号: 79, 期号: 1, 页码: 247-265
作者:
Fan, Jianqing
;
Li, Quefeng
;
Wang, Yuyan
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  |  
浏览/下载:16/0
  |  
提交时间:2018/07/30
High dimension
Huber loss
M-estimator
Optimal rate
Robust regularization
A Real-Time Access Control of Patient Service in the Outpatient Clinic
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2017
Song, Jie
;
Qiu, Yunzhe
;
Liu, Zekun
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  |  
浏览/下载:6/0
  |  
提交时间:2017/12/04
Admission control (AC)
healthcare management
Markov decision process (MDP)
myopic optimal policy
patient utility
NO-SHOWS
WAITING TIME
APPOINTMENTS
ALLOCATION
OVERBOOKING
QUEUES
SERVER
MODEL
Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy
期刊论文
APPLIED MATHEMATICS AND COMPUTATION, 2014, 卷号: 239, 期号: 0, 页码: 180-197
作者:
Chen, Hui Ling
;
Yang, Bo
;
Wang, Su Jing
;
Wang, Gang
;
Liu, Da You
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2015/09/18
Support vector machines
Particle swarm optimization
Parallel computing
Feature selection
A Probabilistic Approach to String Transformation
期刊论文
ieee知识与数据工程汇刊, 2014
Wang, Ziqi
;
Xu, Gu
;
Li, Hang
;
Zhang, Ming
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2015/11/11
String transformation
log linear model
spelling error correction
query reformulation
SEARCH
An effective system for parameter optimization in photolithography process of a LGP stamper
期刊论文
http://dx.doi.org/10.1007/s00521-013-1353-7, 2014
Chen, Wen-Chin
;
Jiang, Xiao-Yun
;
Chang, Hui-Pin
;
Chen, Hisa-Ping
;
江小云
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2015/07/22
Gallium
Liquid crystal displays
Neural networks
Particle swarm optimization (PSO)
Photoresists
Taguchi methods
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