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Refinado por: assunto: Algorithms remover
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1
Impact of genotype imputation on the performance of GBLUP and Bayesian methods for genomic prediction
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Artigo
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Impact of genotype imputation on the performance of GBLUP and Bayesian methods for genomic prediction

Chen, Liuhong ; Li, Changxi ; Sargolzaei, Mehdi ; Schenkel, Flavio Zhang, Qin

PloS one, 2014-07, Vol.9 (7), p.e101544-e101544 [Periódico revisado por pares]

United States: Public Library of Science

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2
Target recognition method of ballistic mission based on experts trust
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Artigo
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Target recognition method of ballistic mission based on experts trust

Li, Changxi ; Zhou, Yan ; Guo, Ge ; Wu, Changfei ; Li, Lujun

Jie fang jun li gong da xue xue bao. Journal of PLA University of Science and Technology. Zi ran ke xue ban, 2016-04, Vol.17 (2)

Sem texto completo

3
Improved D-S evidence combination rule based on reliability of sensors
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Artigo
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Improved D-S evidence combination rule based on reliability of sensors

Li, Changxi ; Zhou, Yan ; Lin, Han ; Guo, Ge

Jie fang jun li gong da xue xue bao. Journal of PLA University of Science and Technology. Zi ran ke xue ban, 2017-02, Vol.18 (1)

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4
Research of the Compound Mass Flow Meter
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Artigo
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Research of the Compound Mass Flow Meter

Gao, Yongfeng ; Li, Changxi

Process Automation Instrumentation/Zidonghua Yibiao, 2012-09, Vol.33 (9), p.76-82 [Periódico revisado por pares]

Sem texto completo

5
An NMR log echo data de-noising method based on the wavelet packet threshold algorithm
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Artigo
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An NMR log echo data de-noising method based on the wavelet packet threshold algorithm

Meng, Xiangning ; Xie, Ranhong ; Li, Changxi ; Hu, Falong ; Li, Chaoliu ; Zhou, Cancan

Journal of geophysics and engineering, 2015-12, Vol.12 (6), p.956-968 [Periódico revisado por pares]

IOP Publishing

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6
PSXV-29 Late-Breaking: Investigating use of machine learning algorithms to predict days in herd for commercial beef cattle
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Artigo
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PSXV-29 Late-Breaking: Investigating use of machine learning algorithms to predict days in herd for commercial beef cattle

Manafiazar, Ghader ; Riazi, Mohammad ; Basarab, John A ; Li, Changxi ; Stothard, Paul ; Plastow, Graham

Journal of animal science, 2021-11, Vol.99 (Supplement_3), p.381-381 [Periódico revisado por pares]

US: Oxford University Press

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7
PSX-A-29 Late-Breaking: Use of machine learning algorithms to predict residual feed intake value and classification groups in commercial beef cattle
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Artigo
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PSX-A-29 Late-Breaking: Use of machine learning algorithms to predict residual feed intake value and classification groups in commercial beef cattle

Manafiazar, Ghader ; Riazi, Mohammad ; Basarab, John A ; Li, Changxi ; Stothard, Paul ; Plastow, Graham

Journal of animal science, 2021-11, Vol.99 (Supplement_3), p.377-378 [Periódico revisado por pares]

US: Oxford University Press

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8
A Non-Convex Optimization Approach to Dynamic Coverage Problem of Multi-agent Systems in an Environment with Obstacles
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A Non-Convex Optimization Approach to Dynamic Coverage Problem of Multi-agent Systems in an Environment with Obstacles

Ma, Longbiao ; He, Fenghua ; Wang, Long ; Li, Changxi ; Yao, Yu

Journal of systems science and complexity, 2020-04, Vol.33 (2), p.426-445 [Periódico revisado por pares]

Beijing: Academy of Mathematics and Systems Science, Chinese Academy of Sciences

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9
Stabilization of Delayed Boolean Control Networks via Ledley Antecedence Solution
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Ata de Congresso
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Stabilization of Delayed Boolean Control Networks via Ledley Antecedence Solution

Pan, Yanan ; Fu, Shihua ; Li, Changxi ; Zhao, Jianli ; Guo, Peilian

2021 40th Chinese Control Conference (CCC), 2021, p.3851-3856

Technical Committee on Control Theory, Chinese Association of Automation

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10
Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms
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Artigo
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Online EV Charge Scheduling Based on Time-of-Use Pricing and Peak Load Minimization: Properties and Efficient Algorithms

Wu, Weitiao ; Lin, Yue ; Liu, Ronghui ; Li, Yaohui ; Zhang, Yi ; Ma, Changxi

IEEE transactions on intelligent transportation systems, 2022-01, Vol.23 (1), p.572-586 [Periódico revisado por pares]

New York: IEEE

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