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自动化研究所 [3]
兰州理工大学 [2]
地理科学与资源研究所 [2]
数学与系统科学研究院 [2]
合肥物质科学研究院 [2]
计算技术研究所 [1]
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期刊论文 [14]
会议论文 [1]
学位论文 [1]
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2021 [16]
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Pancreatic Serous Cystic Neoplasms and Mucinous Cystic Neoplasms: Differential Diagnosis by Combining Imaging Features and Enhanced CT Texture Analysis
期刊论文
FRONTIERS IN ONCOLOGY, 2021, 卷号: 11
作者:
Chen, Hai-Yan
;
Deng, Xue-Ying
;
Pan, Yao
;
Chen, Jie-Yu
;
Liu, Yun-Ying
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2022/02/14
pancreatic neoplasms
serous cystadenoma
mucinous cystadenoma
texture analysis
tomography
Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:
Wang, Jianzhou
;
Cheng, Zishu
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  |  
浏览/下载:12/0
  |  
提交时间:2022/04/29
Interval prediction
Multi-objective optimization algorithm
Wind speed
Combined models
3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279)
期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 卷号: 111, 期号: 4, 页码: 926-935
作者:
Li, Xiaoqin
;
Gao, Han
;
Zhu, Jian
;
Huang, Yong
;
Zhu, Yongbei
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/12/28
Distributed model predictive control based on adaptive sampling mechanism
期刊论文
CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2021, 卷号: 39, 页码: 193-204
作者:
Wang, Zhen
;
An, Aimin
;
Li, Qianrong
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  |  
浏览/下载:25/0
  |  
提交时间:2022/03/01
Chemical process
Distributed model predictive control
Adaptive sampling mechanism
Optimal sampling interval
System dynamic behavior
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:
An, Chao
;
Li, Dongyang
;
Li, Sheng
;
Li, Wangzhong
;
Tong, Tong
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  |  
浏览/下载:51/0
  |  
提交时间:2021/12/28
Lymph node metastases
Pancreatic ductal adenocarcinoma
Deep learning
Dual-energy computed tomography
Prognosis
Global sensitivity and uncertainty analysis of the VIP ecosystem model with an expanded soil nitrogen module for winter wheat-summer maize rotation system in the North China Plain
期刊论文
PEDOSPHERE, 2021, 卷号: 31, 期号: 5, 页码: 822-838
作者:
He, Lihong
;
Mo, Xingguo
;
Hu, Shi
;
Liu, Suxia
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  |  
浏览/下载:92/0
  |  
提交时间:2021/08/19
ammonia volatilization
denitrification rate
global sensitivity analyses
shuffled complex evolution developed at the University of Arizona (SCE-UA) algorithm
vegetation interface processes model
Statistical analysis and optimal inspection planning for lifetime delayed gamma degradation processes
期刊论文
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2021, 页码: 16
作者:
Li, Zan
;
Hu, Qingpei
;
Yang, Qingyu
;
Yu, Dan
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  |  
浏览/下载:43/0
  |  
提交时间:2021/10/26
crack initiation
crack propagation
D-optimality
gamma process
inspection planning
Prediction of Long-Term Elbow Flexion Force Intervals Based on the Informer Model and Electromyography
期刊论文
ELECTRONICS, 2021, 卷号: 10
作者:
Lu, Wei
;
Gao, Lifu
;
Li, Zebin
;
Wang, Daqing
;
Cao, Huibin
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  |  
浏览/下载:36/0
  |  
提交时间:2021/11/01
electromyography
Informer
force prediction
long-term prediction
confidence intervals
Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong
期刊论文
NPJ DIGITAL MEDICINE, 2021, 卷号: 4, 期号: 1, 页码: 9
作者:
Zhou, Jiandong
;
Lee, Sharen
;
Wang, Xiansong
;
Li, Yi
;
Wu, William Ka Kei
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2021/05/17
Fault Monitoring Method of Wind Turbine Main Bearing
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415
作者:
Zheng, Yuqiao
;
Wei, Jianfeng
;
Zhu, Kai
;
Dong, Bo
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Bearings (machine parts)
Forecasting
Linear regression
Monitoring
Sliding mode control
Statistics
Support vector machines
Support vector regression
Wind turbines
Change of temperatures
Combination forecasting models
Determination coefficients
Mean and standard deviations
Multiple linear regression models
Multivariate linear regression model
Sliding window methods
Support vector machine regressions
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