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科研机构
湖南大学 [35]
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期刊论文 [35]
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2019 [12]
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内容类型:期刊论文
专题:湖南大学
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A new resource allocation strategy based on the relationship between subproblems for MOEA/D
期刊论文
Information Sciences, 2019, 卷号: Vol.501, 页码: 337-362
作者:
Peng Wang
;
Wen Zhu
;
Haihua Liu
;
Bo Liao
;
Lijun Cai
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/12/13
Decomposition
Evolutionary algorithm
Multi-objective optimization
Resource allocation
Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 4360-4374
作者:
Xiaohui Wei
;
Wen Zhu
;
Bo Liao
;
Lijun Cai
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/13
Hyperspectral imaging
Principal component analysis
Big Data
Matrix decomposition
Sensors
Adaptive regression
classification
convolutional neural network (CNN)
hyperspectral band selection
one-pass self-representation learning (SRL)
row-sparsity norm
Prediction of Protein Subcellular Localization Based on Fusion of Multi-view Features.
期刊论文
Molecules (Basel, Switzerland), 2019, 卷号: Vol.24 No.5
作者:
Bo Li
;
Lijun Cai
;
Bo Liao
;
Xiangzheng Fu
;
Pingping Bing
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/13
generalized chaos game representation
protein primary sequence
protein subcellular localization
statistical method
support vector machine
unitary distance
A New Resource Allocation Strategy Based on the Relationship Between Subproblems for MOEA/D
期刊论文
Information Sciences, 2019
作者:
Peng Wang
;
Wen Zhu
;
Haihua Liu
;
Bo Liao
;
Lijun Cai
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/13
Decomposition
Evolutionary algorithm
Multi-objective optimization
Resource allocation
Prediction of Protein Subcellular Localization Based on Fusion of Multi-view Features.
期刊论文
Molecules, 2019, 卷号: Vol.24 No.5, 页码: 919
作者:
Li, Bo
;
Cai, Lijun
;
Liao, Bo
;
Fu, Xiangzheng
;
Bing, Pingping
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/13
generalized chaos game representation
protein primary sequence
protein subcellular localization
statistical method
support vector machine
unitary distance
A novel combined cooling-heating and power system integrated organic Rankine cycle for waste heat recovery of bottom slag in coal-fired plants.
期刊论文
Energy Conversion & Management, 2019, 卷号: Vol.186, 页码: 380-392
作者:
Liao, Gaoliang
;
Liu, Lijun
;
Zhang, Feng
;
Jiaqiang, E
;
Chen, Jingwei
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/12/13
Analytic Hierarchy Process (AHP)
Bottom slag
Combined cooling-heating and power (CCHP)
Organic Rankine cycle (ORC)
Working fluids
Effects of technical progress on performance and application of supercritical carbon dioxide power cycle: A review
期刊论文
Energy Conversion and Management, 2019, 卷号: Vol.199, 页码: 111986
作者:
Gaoliang Liao
;
Lijun Liu
;
Jiaqiang E
;
Feng Zhang
;
Jingwei Chen
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/13
Supercritical carbon dioxide
Thermal efficiency
Performance analysis
Energy industry
Cycle layouts
A novel combined cooling-heating and power system integrated organic Rankine cycle for waste heat recovery of bottom slag in coal-fired plants.
期刊论文
Energy Conversion & Management, 2019, 卷号: Vol.186, 页码: 380-392
作者:
Liao, Gaoliang
;
Liu, Lijun
;
Zhang, Feng
;
Jiaqiang, E.
;
Chen, Jingwei
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2019/12/13
Analytic Hierarchy Process (AHP)
Bottom slag
Combined cooling-heating and power (CCHP)
Organic Rankine cycle (ORC)
Working fluids
Improved Pre-miRNAs Identification Through Mutual Information of Pre-miRNA Sequences and Structures.
期刊论文
Frontiers in genetics, 2019, 卷号: Vol.10, 页码: 119
作者:
Xiangzheng Fu
;
Wen Zhu
;
Lijun Cai
;
Bo Liao
;
Lihong Peng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/17
feature representation algorithm
mutual information
pre-miRNAs identification
structure analysis
support vector machine
Prediction of Protein Subcellular Localization Based on Fusion of Multi-view Features.
期刊论文
Molecules (Basel, Switzerland), 2019, 卷号: Vol.24 No.5
作者:
Bo Li
;
Lijun Cai
;
Bo Liao
;
Xiangzheng Fu
;
Pingping Bing
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/17
generalized chaos game representation
protein primary sequence
protein subcellular localization
statistical method
support vector machine
unitary distance
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